WO2021103707A1 - Identity identification method and device for house animals - Google Patents

Abstract

The embodiments of the present description provide an identity identification method and device for house animals. The identity identification method for house animals comprises: acquiring a first biological feature image and a second biological feature image of a house animal to be identified, performing similarity calculation on the first biological feature image and reference biological feature images of a plurality of house animals in a database, using a reference biological feature image which satisfies a preset condition in a calculation result as a target image, and reading from the database an identity coding sequence which contains a biological feature coding segment, the biological feature coding segment corresponding to the target image; extracting biological feature information to be identified of the second biological feature image, and comparing said biological feature information with reference biological feature information mapped by a category coding segment in the identity coding sequence; and according to a comparison result and the similarity calculation result, querying a target identity coding sequence so as to determine an identity identification code of the house animal to be identified.

Description

Method and device for identifying identity of nourishment Technical field

The embodiments of this specification relate to the technical field of identity recognition, and in particular to a method for recognizing the identity of foodstuffs. One or more embodiments of the present specification also relate to an identity recognition device for a feeder, a computing device, and a computer-readable storage medium.

Background technique

With the acceleration of the pace of social development, everyone who is a participant in social development faces more and more pressures in work and life. In order to enrich their lives without putting too much burden on their own lives, more and more The more people like to keep pets, they can enrich themselves while keeping pets, which also helps their physical and mental health, especially for elderly people who live alone with their children struggling in other places, accompanied by pets. Make the life of the elderly happier, and for some well-trained pets, when the elderly have some accidents, such as sickness, the pets will also act as an alarm. The pets are equivalent to a part of the family for the owner, which is very important. Important existence, so many pet-oriented services have been produced.

Summary of the invention

In view of this, the embodiments of this specification provide a method for identification of feeders. One or more embodiments of the present specification also relate to an identity recognition device for breeding animals, a computing device, and a computer-readable storage medium to solve the technical defects in the prior art.

According to the first aspect of the embodiments of the present specification, there is provided a method for identifying a nutrient, including: acquiring a first biometric image and a second biometric image of the nutrient to be identified, and calculating the first biometric image and The similarity of the reference biometric images of multiple nutrients in the database; the reference biometric image that meets the preset conditions in the similarity calculation result is used as the target image, and the identity of the biometric code segment corresponding to the target image is read Coding sequence; extracting the biometric information to be recognized of the second biometric image, and comparing the biometric information to be recognized with the reference biometric information mapped by the category code segment in the identity coding sequence; according to the identity The number of aligned coding segments included in the coding sequence and the similarity calculation result query the target identity coding sequence, and use the target identity coding sequence as the identity identification code of the nutrient to be identified.

Optionally, the biological feature information to be identified includes category information to be identified, and the category code segment includes a category code segment;

Correspondingly, the comparing the biological characteristic information to be identified with the reference biological characteristic information mapped to the category code segment in the identity coding sequence includes: reading in a database according to the respective reference biological characteristic information and category codes in advance A mapping relationship table constructed by the mapping relationship of segments; query the reference category information mapped by the category code segment in the mapping relationship table; compare the category information to be identified with the reference category information mapped to the category code segment .

Optionally, the biological feature information to be identified further includes the species information to be identified, and the category code segment further includes a species code segment; correspondingly, the reference for mapping the category information to be identified with the category code segment After the category information comparison sub-step is executed, it further includes: screening the identity coding sequences containing the category coding segments that are consistent in the comparison as the first identity coding sequence set according to the comparison results; querying the first identity coding sequence in the mapping table The reference variety information mapped by the variety code segment in each identity encoding sequence contained in the identity encoding sequence set; comparing the variety information to be identified with the reference variety information mapped by the variety code segment.

Optionally, the biological feature information to be identified further includes gender information to be identified, and the category encoding segment further includes a gender encoding segment; correspondingly, the reference for mapping the variety information to be identified with the variety encoding segment After the step of comparing the variety information is executed, the method further includes: selecting, in the first identity encoding sequence set, the identity encoding sequence containing the aligned variety encoding segment as the second identity encoding sequence set according to the comparison result; Query the reference gender information mapped by the gender coding segment in each identity coding sequence contained in the second identity coding sequence set in the mapping relationship table; compare the gender information to be identified with the reference gender information mapped by the gender coding segment Correct.

Optionally, the target identity coding sequence is inquired according to the number of aligned coding segments contained in the identity coding sequence and the similarity calculation result, and the target identity coding sequence is used as the nutrient to be identified The identity identification code includes: querying the target in the second identity coding sequence set according to the number of aligned coding segments contained in each identity coding sequence in the second identity coding sequence set and the similarity calculation result An identity coding sequence, and the target identity coding sequence is used as the identity identification code of the nutrient to be identified.

Optionally, the querying the target identity coding sequence according to the number of aligned coding segments contained in the identity coding sequence and the similarity calculation result includes: mapping the category coding segment in the identity coding sequence with all The number of the biometric information to be identified that is consistent in comparison is determined as the number of consistent coding segments contained in the identity coding sequence; the identity coding sequence containing the largest number of aligned coding segments is selected and constructed based on the screening results The third identity code sequence set; determine whether the number of identity code sequences in the third identity code sequence set is equal to 1; if so, the identity code sequence in the third identity code sequence set is determined as the target identity code Sequence; if not, determine the identity coding sequence of the biometric coding segment corresponding to the target image with the highest similarity to the first biometric image in the third identity coding sequence set as the target identity coding sequence .

Optionally, the step of acquiring the first biometric image and the second biometric image of the nutrients to be identified, and calculating the similarity between the first biometric image and the reference biometric images of multiple nutrients in the database is performed After that, before the step of using the reference biometric image that meets the preset conditions in the similarity calculation result as the target image, and reading the identity code sequence containing the biometric code segment corresponding to the target image, it further includes: In the similarity calculation result, whether the similarity between the reference biometric image of any nutrient and the first biometric image meets the preset similarity threshold; if not, execute the similarity calculation result to meet the preset similarity threshold; A step of setting a conditional reference biometric image as a target image, and reading an identity code sequence containing a biometric code segment corresponding to the target image.

Optionally, the identity coding sequence further includes an attribute coding segment; correspondingly, the extracting the biological characteristic information to be recognized of the second biological characteristic image, and combining the biological characteristic information to be recognized with the identity coding sequence After the step of comparing the reference biometric information mapped by the category code segment is performed, the target identity code sequence is queried according to the number of aligned code segments contained in the identity code sequence and the similarity calculation result, and the Before the execution of the step of using the target identity coding sequence as the identity code of the food to be identified, the method further includes: screening the identity coding sequence containing the aligned category coding segments as the fourth identity coding sequence set according to the comparison result; The to-be-identified attribute information of the first biometric image or the second biometric image, and the reference attribute information that maps the to-be-identified attribute information to the attribute code segments included in each identity coding sequence in the fourth identity coding sequence set Compare.

Optionally, the attribute information to be identified includes age information to be identified, and the attribute encoding segment includes an age encoding segment; accordingly, the extraction of the first biometric image or the second biometric image to be identified Attribute information, comparing the attribute information to be identified with reference attribute information mapped from attribute code segments contained in each identity code sequence in the fourth identity code sequence set, including: comparing the first biometric image or the The second biometric image is input to a pre-trained age recognition model, and the output age recognition result is obtained as the age information to be identified; it is judged whether the reference age information mapped by the age coding segment belongs to the age information to be identified Age range; if yes, it is determined that the comparison result of comparing the to-be-identified age information with the reference age information mapped by the age coding range is consistent.

Optionally, the attribute information to be identified further includes attribute information of the location to be identified, and the attribute encoding segment includes a location encoding segment; correspondingly, the determining a reference for mapping the age information to be identified with the age encoding segment The comparison result of the comparison of age information is that the comparison step is performed. After the step is performed, the method further includes: screening the identity coding sequence containing the age coding segment with the same alignment as the fifth identity coding sequence set according to the comparison result; and detecting the first set of identity coding sequences. Whether the location attribute information is carried in the biometric image or the second biometric image; if so, the location attribute information is extracted as the location attribute information to be identified, and the location attribute information to be identified is combined with the fifth identity The reference position attribute information mapped to the position coding segment contained in each identity coding sequence in the coding sequence set is compared.

Optionally, the target identity coding sequence is inquired according to the number of aligned coding segments contained in the identity coding sequence and the similarity calculation result, and the target identity coding sequence is used as the nutrient to be identified The identification code includes: querying the target identity coding sequence according to the number of aligned coding segments contained in each identity coding sequence in the fifth identity coding sequence set and the similarity calculation result, and using the target identity coding sequence as The identification code of the nutriment to be identified.

According to a second aspect of the embodiments of the present specification, there is provided a nutrient identity recognition device, including: a similarity calculation module configured to obtain a first biometric image and a second biometric image of the nutrient to be identified, and calculate The similarity between the first biometric image and the reference biometric image of a plurality of nutrients in the database; the reading module is configured to use the reference biometric image that meets the preset condition in the similarity calculation result as the target image, and read Taking the identity coding sequence containing the biometric coding segment corresponding to the target image; the comparison module is configured to extract the biometric information to be recognized of the second biometric image, and compare the biometric information to be recognized with the The reference biometric information mapped to the category code segment in the identity code sequence is compared; the query module is configured to query the target identity code according to the number of aligned code segments contained in the identity code sequence and the similarity calculation result Sequence, and use the target identity coding sequence as the identity identification code of the nutrient to be identified.

Optionally, the query module includes: a determining sub-module configured to determine the number of biometric information that is consistent with the comparison of the biometric information to be identified, which is mapped to the category code segment in the identity coding sequence, as the number of biometric information to be identified. The number of aligned coding segments contained in the identity coding sequence; the screening sub-module is configured to screen the identity coding sequence containing the largest number of aligned coding segments as the third identity coding sequence set; the judging sub-module is configured to judge Whether the number of identity coding sequences in the third identity coding sequence set is equal to 1; if the execution result of the judging submodule is yes, run the first target identity coding sequence determination submodule; the first target identity coding sequence The determining submodule is configured to determine the identity coding sequence in the third identity coding sequence set as the target identity coding sequence; if the execution result of the judgment submodule is no, run the second target identity coding sequence A determination sub-module; the second target identity coding sequence determination sub-module is configured to include in the third identity coding sequence set a biometric code corresponding to the target image with the highest similarity to the first biometric image The identity coding sequence of the segment is determined as the target identity coding sequence.

According to a third aspect of the embodiments of the present specification, there is provided a computing device, including: a memory and a processor;

The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions: obtain a first biometric image and a second biometric image of the nutrient to be identified, and calculate the first biometric The similarity between the image and the reference biometric image of multiple nutrients in the database; the reference biometric image that meets the preset conditions in the similarity calculation result is used as the target image, and the biometric code segment corresponding to the target image is read The identity coding sequence; extract the biological characteristic information to be identified of the second biological characteristic image, and compare the biological characteristic information to be identified with the reference biological characteristic information mapped by the category code segment in the identity coding sequence; The number of aligned coding segments included in the identity coding sequence and the similarity calculation result query the target identity coding sequence, and use the target identity coding sequence as the identity identification code of the nutrient to be identified.

According to a fourth aspect of the embodiments of the present specification, a computer-readable storage medium is provided, which stores computer-executable instructions, which when executed by a processor, realize the steps of any one of the above-mentioned methods for identification of feeders.

An embodiment of this specification obtains the first biometric image and the second biometric image of the nutrients to be identified, and calculates the similarity between the first biometric image and the reference biometric images of multiple nutrients in the database, and then calculates the result The reference biometric image that meets the preset conditions in the database is used as the target image, and the identity coding sequence containing the biometric coding segment is read in the database, where the biometric coding segment corresponds to the target image; the second biometric image is extracted Identify the biometric information, compare the biometric information to be identified with the reference biometric information mapped to the category code segment in the identity coding sequence; query the target identity coding sequence according to the comparison result and the similarity calculation result to determine the target identity coding sequence Identify the identification code of the feed.

The embodiment of this specification realizes the use of image recognition to collect the biological characteristic information to be identified of the nutrient to be identified in the image, and combine the biological characteristic information to be identified with the identity coding sequence of the nutrient stored in advance in the database The benchmark biometric information mapped by different code segments is compared to identify the feeder to be identified, which improves the feasibility of the feeder identification method, and the identity of the feeder is identified by taking pictures and image recognition, which not only guarantees In order to ensure the safety of the feed, the identity of the feed can be identified anytime and anywhere, which improves the convenience.

Description of the drawings

Fig. 1 is a processing flow chart of a method for identification of feeders provided by an embodiment of this specification.

Fig. 2 is a processing flow chart of a method for identifying the identity of the nourishment provided by an embodiment of the present specification applied to an insurance project.

Fig. 3 is a schematic diagram of an identity recognition device for feeders provided by an embodiment of the present specification.

Fig. 4 is a structural block diagram of a computing device provided by an embodiment of this specification.

Detailed ways

In the following description, many specific details are explained in order to fully understand this specification. However, this specification can be implemented in many other ways different from those described herein, and those skilled in the art can make similar promotion without violating the connotation of this specification. Therefore, this specification is not limited by the specific implementation disclosed below.

The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a", "said" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and/or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, the information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein can be interpreted as "when" or "when" or "in response to determination".

In this specification, there is provided a method for recognizing the identity of the nourishment. This specification also relates to a device for recognizing the nourishment identity, a computing device, and a computer-readable storage medium. The details are described one by one in the following embodiments. Description.

Fig. 1 shows a flow chart of a method for identification of feeders provided according to an embodiment of the present specification, including steps 102 to 108.

Step 102: Obtain the first biometric image and the second biometric image of the nutrient to be identified, and calculate the similarity between the first biometric image and the reference biometric image of the plurality of nutrient in the database.

In the embodiments of this specification, feeding means feeding, domesticating or raising; feeding stuff includes animals and plants that are fed or raised by users, including animal pets (pet dogs, pet cats, pet pigs, etc.), plant pets, tea pet pets (Golden Toad) , Pixiu, etc.) and alternative pets (groundhogs, rabbits, hamsters, hedgehogs, bats, etc.). In addition to the above-mentioned pets, the feed also includes poultry, such as chickens and ducks.

The embodiment of this specification takes the food to be identified as a pet as an example for description. As more and more users choose to keep pets, more and more food service agencies have emerged as the times require. When an institution receives a service request from a user for a nutriment, during the specific process of insuring or medical diagnosis of the nutriment, if the pre-established file information of the nutriment is stored in the database, the nutriment service organization must check The nourishment is identified to inquire about its historical insurance records or historical medical diagnosis records and other related information, so as to recommend the types of insurance for users or make accurate diagnosis and treatment based on relevant data.

According to the method for identifying the feeder's identity provided by the embodiment of this specification, if the file information of the feeder to be identified is pre-stored in the database, the feeder service organization can obtain the biometric image of the feeder to be identified and pass it through The acquired biometric image is used to identify the nutrient to be identified.

The nutrient to be identified in the embodiment of this specification is the nutrient that needs to be identified. The first biometric image and the second biometric image are the biometric images of the nutrient to be identified. The collection is performed when the nourishment identity recognition request is made or uploaded by the user who sent the nourishment identity recognition request; the reference biometric image is the biological characteristic image of the nourishment collected when the nourishment file is established.

Specifically, the biometric image includes a first biometric image and a second biometric image, wherein the first biometric image includes a nose print feature image of the nutrient to be identified, and the second biometric image The biometric image includes the whole body image or facial image of the nutrient to be identified; after receiving the identity recognition request sent by the user for the nutrient to be identified and obtaining the first biometric image of the nutrient to be identified, the The similarity calculation is performed between the first biometric image and the reference biometric image of a plurality of nutrients pre-stored in the database.

In specific implementation, the food to be identified in the embodiments of this specification refers to a pet that is raised, and the first biometric image includes the image of the nose and palm prints of the food to be identified; the first creature to obtain the food to be identified After the characteristic image, the similarity calculation is performed between the first biological characteristic image and the reference biological characteristic images of the multiple nutrients in the database, and the identity of the nutriment to be identified is identified according to the similarity calculation result.

In an embodiment provided in this specification, after obtaining the similarity calculation result between the first biometric image and the reference biometric image of multiple nutrients in the database, it is also necessary to determine whether there is any nutrient in the similarity calculation result. The similarity between the reference biometric image and the first biometric image meets the preset similarity threshold; if not, the reference biometric image that meets the preset conditions in the similarity calculation result is taken as the target image, and the read contains and The identity coding sequence of the biometric coding segment corresponding to the target image.

Specifically, if it is determined according to the judgment result that there is a similarity between any reference biometric image and the first biometric image greater than the preset similarity threshold, it can be determined that the nutrient to be identified is in the reference biometric image. If the nutrient belonging to the reference biometrics is the same, the identity coding sequence of the nutrient corresponding to the reference biometric image can be used as the identification code of the nutrient to be identified.

If the similarity between any reference biometric image and the first biometric image is less than or equal to the preset similarity threshold, it is necessary to select n reference biometrics with greater similarity that meet the preset conditions according to the similarity calculation result The image is used as the target image, where n is a positive integer, and n is determined according to the actual situation, which is not limited here. After the target image is determined, the biological characteristic information to be identified in the second biological characteristic image is coded with the identity characteristic code segment corresponding to the target image. The mapped reference biometric information is compared.

Take the scene where the user insures the animal (pet pet1) to be identified as an example. The first biometric image in this scene is the nose pattern characteristic image. After the insurance service agency obtains the nose pattern characteristic image of the pet pet1, the nose pattern characteristic image Calculate the similarity with the reference biometric images of multiple pets in the database. If the similarity between the reference biometric image of pet pet2 and the nose pattern feature image of pet pet1 in the database is 97%, which is greater than the preset similarity threshold of 95% , The identification code sequence of pet pet2 is determined as the identification code of pet pet1; if the similarity between the reference biometric image of any pet in the database and the nose pattern feature image of pet pet1 is less than or equal to the preset similarity threshold 95% , The similarity calculation results are sorted in descending order, and the top n benchmark biometric images that meet the preset conditions in the sorting results are selected as the target image, and the target image is used to identify the pet pet1 .

By calculating the similarity between the first biometric image and the reference biometric images of multiple nutrients in the database, and selecting part of the target image as the comparison object for subsequent processing according to the calculation result, the comparison range is narrowed and the identity is improved. Recognition efficiency and accuracy.

Step 104: Taking a reference biometric image that meets a preset condition in the similarity calculation result as a target image, and reading an identity code sequence containing a biometric code segment corresponding to the target image.

The identity coding sequence described in the embodiment of this specification is the identity code of the nourishment to which the reference biometric information in the target image belongs, the biometric coding segment is the coding segment of the reference biometric information mapping in the target image, and the identity coding sequence is related to the biological information. The characteristic coding sequence is an inclusive relationship. In addition to the biometric coding sequence, the identity coding sequence may also include other coding segments, such as category coding segments.

Specifically, on the basis of obtaining the similarity calculation result between the first biometric image and the reference biometric image of multiple nutrients in the database, if it is determined according to the similarity calculation result that any one of the reference biometric images and the first biological If the similarity of the feature images is less than or equal to the preset similarity threshold, the similarity calculation results are sorted in descending order, and the top n benchmark biometric images that meet the preset conditions in the sorting results are selected as the target image , And read the identity code sequence containing the biometric code segment corresponding to the target image.

Still taking the scene where the user insures the animal to be identified (pet pet1) as an example, the first biometric image in this scene is the nose pattern feature image. If the reference biometric image of any pet in the database is determined according to the similarity calculation result If the similarity between the nose pattern feature image of pet pet1 is less than or equal to the preset similarity threshold of 95%, the similarity calculation results are sorted in descending order, and the top n of the sorting results that meet the preset conditions are selected. The reference biometric image is used as the target image, and n identity coding sequences respectively containing the biometric coding segments corresponding to the target image are read.

After reading n identification code sequences, the identification of the nutrient to be identified is determined by comparing the biometric information to be identified in the second biometric image with the reference biometric information mapped by the category code segment in the identification code sequence code.

Step 106: Extract the to-be-identified biological characteristic information of the second biological characteristic image, and compare the to-be-identified biological characteristic information with the reference biological characteristic information mapped by the category code segment in the identity coding sequence.

The second biometric image described in the embodiment of the present specification includes a full-body image of the nutrient to be identified, and the biometric information to be identified is the biological characteristic contained in the second biometric image of the nutrient to be identified and related to the category of the nutrient to be identified Information; the biological characteristic information contained in the target image is the reference biological characteristic information, and there is a mapping relationship between the reference biological characteristic information and the category code segment.

After the target image is determined and the identity coding sequence containing the biometric coding segment corresponding to the target image is read, the biometric information to be identified in the second biometric image is mapped to the reference organism in the category coding segment in the identity coding sequence. The characteristic information is compared to determine the identification code of the feed to be identified.

In an embodiment provided in this specification, the biological feature information to be identified includes the category information to be identified of the nutrient to be identified, and the category code segment includes a category code segment; and the biological feature information to be identified is combined with the category code segment. The reference biometric information mapped by the category code segment in the identity coding sequence is compared. After the comparison is completed, the identity identification code of the nourishment can be queried according to the comparison result and the similarity calculation result. The specific comparison process can be realized in the following ways : Read the mapping relationship table constructed in advance according to the mapping relationship between each reference biometric information and the category code segment in the database; query the reference category information mapped to the category code segment in the mapping relationship table; compare the to-be-identified The category information is compared with the reference category information mapped by the category code segment.

Specifically, the mapping relationship table is pre-established by the server and stored in the database, and the mapping relationship table contains the mapping relationship between each reference biometric information and the category code segment, and the category code segment is the category of the nutrient The mapped code segment consists of two characters. The characters include letters, numbers or special characters. In the embodiment of this description, the types of feeders include reptiles, mammals, fish, amphibians, and insects.

After extracting the to-be-identified species information of the species to be identified in the second biometric image, query the mapping relationship table for the reference species information mapped by the species-coded segments in the n identity coding sequences, and compare the species-to-be-identified information with Whether the reference category information is consistent to determine the identification code of the feed to be identified.

Take the pet dog pet D1 as an example, read 10 identification code sequences A1, A2,..., A10, extract the type information to be identified of the second biometric image, and determine the pet The type of dog pet D1 is mammalian. After determining the type of pet dog pet D1, the type information (mammals) of pet dog pet D1 to be identified needs to be compared with the reference type information mapped by the type code segment in the 10 identification code sequences. Yes, the embodiment of this specification takes the identity code sequence A1 in the 10 acquired identity code sequences as an example for description. The category code segment contained in the identity code sequence A1 is 02, and the reference category information mapped by 02 is queried in the mapping relationship table. If it is a mammal, the comparison result obtained by comparing the category information to be identified (mammals) with the reference category information (mammals) is consistent.

The specific implementation of the comparison between the category information to be identified and the reference category information mapped from the category code segment contained in other identity coding sequences other than the identity code sequence A1 is similar. Refer to the specific implementation of the comparison with the reference category information in the identity code sequence A1. Yes, I won’t repeat them here.

Further, on the basis of comparing the species information of the nutrient, it is also possible to compare the species information to improve the accuracy of the identification result of the nutrient to be identified.

Specifically, the biological feature information to be identified further includes the species information to be identified, and the category code segment also includes a species code segment; the category information to be identified and the reference category information mapped by the category code segment are compared and combined. After the comparison result is obtained, the identity code sequence of the category code segment that contains the aligned reference category information mapping is taken as a new set, and the variety information to be identified is combined with each identity code sequence in the new identity code sequence set The comparison of the reference variety information of the included variety code segment mapping can be specifically achieved by the following steps: according to the comparison result, the identity encoding sequence containing the aligned category encoding segment is selected as the first identity encoding sequence set; Query the reference variety information mapped by the variety code segment in each identity encoding sequence contained in the first identity encoding sequence set in the relationship table; compare the variety information to be identified with the reference variety information mapped by the variety code segment .

Specifically, after the category information to be identified is compared with the reference category information, the identity coding sequence containing the category code segment mapped by the reference category information that is consistent with the comparison is selected according to the comparison result as the first identity coding sequence set, and all The reference variety information mapped by the variety code segment contained in the identity encoding sequence in the first identity encoding sequence set is compared with the variety information to be identified, so as to narrow the scope of comparison, and the variety code segment described in the embodiment of this specification is for breeding The code segment of the species mapping of the thing is composed of three characters, and the characters include letters, numbers or special characters.

After extracting the to-be-identified species information of the nutrient to be identified in the second biometric image, query the mapping relationship table for the reference species information mapped by the species code segment contained in each identity coding sequence in the first identity coding sequence set, and compare it Whether the information of the species to be identified is consistent with the information of the reference species is used to determine the identification code of the nutrient to be identified.

Following the previous example, the pet dog pet D1 to be identified is the pet dog pet D1, and the pet dog breeds include Akita, Shiba Inu, Doberman Pinscher, etc., according to the comparison result, the identity coding sequence composition containing the coding segment of the same species is selected according to the comparison The first identity coding sequence set S1={A1, A2, A5, A8, A10}.

After extracting the information of the species to be identified from the second biometric image, it can be determined that the breed of the animal (pet D1) is an Akita. After determining the species of the pet dog pet D1, the information of the species to be identified of the pet dog pet D1 is required. (Akita Dog) Compare with the reference breed information mapped from the breed code segment contained in the 5 identity coding sequences in the first identity coding sequence set. The embodiment of this specification takes the identity coding sequence A2 in the first identity coding sequence set as an example To illustrate, the breed code segment contained in the identity code sequence A2 is 334, and the reference breed information mapped by 334 is queried in the mapping relationship table as Doberman, then the breed information to be identified (Akita) and the reference breed information (Doberman) ) The result of the comparison is inconsistent.

The specific implementation of the comparison between the biometric information to be identified and the reference variety information mapped from the variety code segment contained in the other identity encoding sequences in the first identity encoding sequence set is similar. Refer to the specific implementation of the comparison with the reference variety information in the identity encoding sequence A2 That's it, I won't repeat it here.

Furthermore, on the basis of comparing the type information and species information of the nutrient to be identified, gender information can also be compared to improve the accuracy of the identification result of the nutrient to be identified.

Specifically, the biological feature information to be identified includes gender information to be identified, and the category encoding segment includes a gender encoding segment; the variety information to be identified and the reference variety information mapped by the variety encoding segment are compared and the comparison is obtained. After the results are matched, the identity code sequence of the variety code segment that contains the aligned reference variety information mapping is taken as a new set, and the gender information to be identified is combined with the identity code sequence contained in each identity code sequence in the new identity code sequence set. The comparison of the reference gender information mapped by the gender coding segment can be specifically achieved by the following steps: according to the comparison result, the first identity coding sequence set is selected from the first identity coding sequence set containing the identity coding sequence of the aligned variety coding segment as the second identity Coding sequence set; query the reference gender information mapped to the gender coding segment in each identity coding sequence contained in the second identity coding sequence set in the mapping relationship table; compare the gender information to be identified with the gender coding segment The mapped benchmark gender information is compared.

Specifically, after the variety information to be identified is compared with the reference variety information, the identity coding sequence of the variety code segment containing the reference variety information mapping that is consistent with the comparison is selected according to the comparison result as the second identity coding sequence set, and all the identity coding sequences are used. The reference gender information mapped by the gender coding segment contained in the identity coding sequence in the second identity coding sequence set is compared with the gender information to be identified, so as to narrow the scope of comparison, and the gender coding segment described in the embodiment of the present specification is for cultivating The code segment of the gender mapping of the thing is composed of one character, the character X indicates that the gender of the nurture is female, the character Y indicates that the gender of the nurture is male, and the character Z indicates other.

After extracting the to-be-identified gender information of the to-be-identified animal in the second biometric image, query the mapping relationship table for the reference gender information mapped by the gender coding segments contained in each identity coding sequence in the second identity coding sequence set, and pass the comparison Whether the gender information to be identified is consistent with the reference gender information to determine the identification code of the nourishment to be identified.

Following the above example, the animal to be identified is pet dog pet D1, and its gender includes male and female. According to the comparison result, the second identity coding sequence set S1 consisting of the identity coding sequences of the aligned breed coding segments is selected. ={A1, A5, A8, A10}; extract the type information to be recognized from the second biometric image to determine the gender of the pet dog pet D1 as male. After determining the breed of the pet dog pet D1, the pet dog pet D1's The gender information (public) to be identified is compared with the reference gender information mapped from the gender coding segments contained in the 4 identity coding sequences in the second identity coding sequence set. The specific comparison process is the same as the aforementioned information about the type to be identified and the reference type information. The comparison process is similar, so I won't repeat it here.

According to the range from large to small, the category information, breed information, and gender information are compared with the benchmark information, and after each comparison is completed, a new set of identity coding sequences is generated according to the comparison result, which is beneficial to narrow the next time. The scope of comparison further improves the efficiency of identification of feeds.

In addition to comparing the category information (type information, variety information, and gender information) of the nutrient to be identified, the attribute information can also be compared to improve the accuracy of the identification result of the nutrient to be identified.

In an embodiment provided in this specification, the identity feature coding sequence includes not only a biometric coding segment and a category coding segment, but also an attribute coding segment; a reference biometric that maps the biological feature information to be identified with the category coding segment After the information is compared and the result of the comparison is obtained, the identity coding sequence of the category coding segment that contains the matched reference biometric information mapping is taken as a new set, and the attribute information to be identified is combined with the new identity coding sequence The comparison of the reference attribute information mapped to the attribute coding segments contained in each identity coding sequence in the set can be specifically achieved through the following steps: according to the comparison result, the identity coding sequence containing the aligned category coding segment is selected as the fourth identity coding sequence Set; extract the to-be-identified attribute information of the first biometric image or the second biometric image, and combine the to-be-identified attribute information with the attribute code segment contained in each identity coding sequence in the fourth identity coding sequence set The mapped base attribute information is compared.

Specifically, after extracting the to-be-identified attribute information of the nourishment to be identified in the first biometric image or the second biometric image, query the mapping relationship table for the attribute code segment mapping contained in each identity code sequence in the fourth identity code sequence set And determine the identity identification code of the feeder to be identified by comparing whether the attribute information to be identified is consistent with the reference attribute information.

In an embodiment provided in this specification, the attribute information to be identified includes age information to be identified, and the attribute encoding segment includes an age encoding segment; and the attribute information to be identified is mapped to the attribute encoding segment in the identity encoding sequence. The comparison of reference attribute information can be specifically achieved by the following steps: input the first biometric image or the second biometric image into a pre-trained age recognition model, and obtain the output age recognition result as the age to be recognized Information; determine whether the reference age information mapped by the age code segment belongs to the age range contained in the age information to be identified; if so, determine whether the age information to be identified and the reference age information mapped by the age code segment are mapped The comparison result of the comparison is consistent.

Specifically, the first biometric image or the second biometric image is input into a pre-trained age recognition model, the age range of the nourishment to be recognized output by the model is obtained, and it is determined that each identity code sequence in the fourth identity code sequence set contains Whether the reference age information mapped by the age code segment belongs to the age range, if so, the comparison is consistent; and the age code segment described in the embodiment of this specification is composed of 8 digits, that is, the birth year of the nurture (previous 4) month (5th to 6th) and day (7th to 8th).

Following the previous example, the pet dog pet D1 to be identified is the pet dog pet D1, the age range of the pet dog pet D1 output by the age prediction model is 3 to 4 years old, and the age code segment mapping contained in the identity code sequence A10 in the fourth identity code sequence If the reference age information of is 4 years old, the comparison result of the comparison between the age information to be identified and the reference age information mapped by the age code segment contained in the identity code sequence A10 is consistent; the age information to be identified is in the fourth identity code sequence set The specific implementation of the comparison between the reference age information mapped by the age code segment included in other identity code sequences is similar, and the specific implementation of the comparison with the reference age information in the identity code sequence A10 can be referred to, which will not be repeated here.

In addition to comparing the category information (category information, species information, and gender information) and age information of the feeder to be identified, the location attribute information can also be compared to improve the accuracy of the identification result of the feeder to be identified.

In an embodiment provided in this specification, the attribute information to be identified further includes attribute information of the location to be identified, and the attribute encoding segment includes a location encoding segment; the reference age for mapping the age information to be identified with the age encoding segment After the information is compared and the comparison result is obtained, the identity coding sequence of the age code segment mapped by the reference age information that is consistent with the comparison is taken as a new set, and the location information to be identified is compared with each identity in the new set. The comparison of the reference position information mapped by the position coding segment contained in the coding sequence can be specifically achieved by the following steps: screening the identity coding sequence containing the aligned age coding segment as the fifth identity coding sequence set according to the comparison result; Whether the first biometric image or the second biometric image carries location attribute information; if so, extract the location attribute information as the location attribute information to be identified, and combine the location attribute information to be identified with the In the fifth identity coding sequence set, the reference position attribute information mapped to the position coding segment contained in each identity coding sequence is compared.

Specifically, after comparing the age information to be identified with the reference age information, the identity coding sequence containing the age coding segment mapped by the reference age information mapping consistent with the comparison is selected according to the comparison result as the fifth identity coding sequence set, using all The reference position information mapped to the position coding segment included in the identity coding sequence in the fifth identity coding sequence set is compared with the position information to be identified, so as to narrow the comparison scope. In addition, the position code segment described in the embodiment of this specification consists of 6 digits, the first two are the province (city) where the feed is located, the middle two are the city (district) where the feed is located, and the last two are the county where the feed is located. .

In the embodiment of this specification, the position attribute information can be obtained by querying the image attribute information of the first biometric image or the second biometric image; and the position information carried in the image attribute information is mostly the position coordinates, which need to be compared during the comparison process. The position coordinates are converted into specific position information; after detecting that the first biometric image or the second biometric image carries the position information, the position information is extracted, and the position information is used as the position information to be identified and each of the fifth identity coding sequence set The reference position information mapped by the position coding segment included in the identity coding sequence is compared. The specific comparison process is similar to the foregoing comparison process, and will not be repeated here.

Step 108: Query the target identity coding sequence according to the number of aligned coding segments contained in the identity coding sequence and the similarity calculation result, and use the target identity coding sequence as the identity identification code of the nutrient to be identified .

Specifically, the coding segments in the identity coding sequence are respectively mapped to a kind of reference biometric information, and after the comparison is completed, the identity coding sequence with the largest number of coding segments that contains the aligned reference biometric information mapping is determined as the target identity coding sequence, If there are two or more identity coding sequences that contain the most consistent and identical reference biometric information mapping coding segments, the identity coding sequence of the biometric coding segment corresponding to the target image with greater similarity will be included. Determined as the target identity coding sequence.

In an embodiment provided in this specification, the query of the target identity coding sequence based on the number of aligned coding segments contained in the identity coding sequence and the similarity calculation result can be specifically achieved by the following steps: The number of biometric information that is consistent with the comparison of the biological feature information to be identified mapped from the category coding segment in the coding sequence is determined as the number of aligned code segments included in the identity coding sequence; the number of code segments that contain the aligned consistency is selected. And construct a third set of identity coding sequences based on the screening results; determine whether the number of identity coding sequences in the third identity coding sequence set is equal to 1; if so, the third identity coding sequence set The identity coding sequence is determined as the target identity coding sequence; if not, the third identity coding sequence set includes the identity of the biometric coding segment corresponding to the target image with the highest similarity to the first biometric image The coding sequence is determined as the target identity coding sequence.

Specifically, on the basis of comparing the gender information to be identified with the reference gender information mapped to the gender code segment and obtaining a comparison result, the number of code segments that are consistent according to the comparison contained in the identity code sequence and all the code segments are compared. The similarity calculation result queries the target identity coding sequence, and uses the target identity coding sequence as the identity identification code of the food to be identified, that is, according to the alignment contained in each identity coding sequence in the second identity coding sequence set Consistent number of code segments and the similarity calculation result, query the target identity coding sequence in the second identity coding sequence set, and use the target identity coding sequence as the identity identification code of the nutrient to be identified.

After comparing the attribute information of the position to be identified with the reference position attribute information mapped from the position coding segment contained in each identity coding sequence in the fifth identity coding sequence set and obtaining the result of the comparison, the said identity coding sequence contains The number of coding segments consistent with the comparison and the similarity calculation result query the target identity coding sequence, and use the target identity coding sequence as the identity identification code of the nourishment to be identified, that is, according to the fifth identity coding sequence set The number of aligned coding segments contained in each identity coding sequence and the similarity calculation result query the target identity coding sequence, and use the target identity coding sequence as the identity identification code of the nutrient to be identified.

Take the final identification code of the food to be identified as 340827, 20141019, 02,334, X, 100008 as an example, where the first 6 digits are the first 6 digits of the owner’s ID card, which can be used to indicate the identity of the food. Location; the 7th to 14th digits are the birth date of the feeder, which can be used to indicate the age of the feeder; and the 1st to 14th digits are the attribute information coding segment; the 15th to 16th digits represent the category of the feeder; the 17th to 19th digits represent The species to which the feed belongs; the 20th position represents the gender of the feed; and the 15th to 20th bits are the category code segment; the 21st to 26th bits are the biometric code segment of the feed; after the identification code of the feed to be identified is determined, The insurance service institution can query the historical insurance record and historical medical diagnosis information of the nutriment to be identified through the identification code to recommend suitable insurance types for the nutriment to be identified.

The embodiment of this specification adopts the method of image recognition to identify the biometric information of the feeder in the image, and compares the biometric information with the field of the electronic ID card of the feeder pre-stored in the database to identify the feeder. The identification of the animal raises the feasibility of the method of identifying the animal, and the identification of the animal’s identity by shooting not only ensures the safety of the animal, but also improves the convenience of identifying the identity of the animal.

In the following, in conjunction with FIG. 2, the application of the method for identifying the nutriment provided in this specification in insurance items is taken as an example to further illustrate the method for identifying the nutriment ID. Wherein, FIG. 2 shows a processing flow chart of a method for identification of a nourishment provided by an embodiment of the present specification applied to an insurance project. The specific steps include step 202 to step 218.

Step 202: Obtain the first biometric image and the second biometric image of the pet dog pet D1, and calculate the similarity between the first biometric image and reference biometric images of multiple pet dogs in the database.

Specifically, when receiving the insurance request sent by the user for pet dog pet D1, it is necessary to obtain the biometric image of pet dog pet D1 to identify it to determine the pet dog pet D1's historical insurance record and historical medical treatment data , And determine the appropriate insurance type for pet D1 based on the historical insurance record and historical medical visit data.

Step 204: Determine whether the similarity calculation result meets a preset similarity threshold.

Specifically, it is judged whether the similarity between the reference biometric image of the pet dog and the first biometric image meets the preset similarity threshold in the similarity calculation result; if yes, go to step 206; if not, go to Step 208.

Step 206: Use the identity coding sequence containing the biometric code segment corresponding to the reference biological image as the target identity coding sequence.

Step 208: Taking the reference biometric image that meets the preset conditions in the similarity calculation result as the target image, and reading the identity coding sequence containing the biometric coding segment corresponding to the target image.

Specifically, if the similarity between any reference biometric image and the first biometric image is less than or equal to the preset similarity threshold, it is necessary to select n larger similarities that meet the preset conditions according to the similarity calculation result. The reference biometric image is used as the target image, where n is a positive integer.

Step 210: Extract the to-be-identified biological characteristic information of the second biological characteristic image, and compare the to-be-identified biological characteristic information with the reference biological characteristic information mapped by the category code segment in the identity coding sequence.

Specifically, the biological feature information to be identified includes category information to be identified, species information to be identified, and gender information to be identified; the category encoding segment includes a category encoding segment, a variety encoding segment, and a gender encoding segment.

Step 212: According to the comparison result, the identity coding sequence containing the aligned category coding segment is selected as the identity coding sequence set.

Step 214: Extract the to-be-identified attribute information of the first biometric image or the second biometric image, and map the to-be-identified attribute information to the attribute code segment contained in each identity coding sequence in the identity coding sequence set The benchmark attribute information for comparison.

Specifically, the attribute information to be identified includes age information to be identified and location information to be identified; the attribute encoding segment includes an age encoding segment and a location encoding segment.

Step 216: Query the target identity coding sequence according to the number of aligned coding segments included in the identity coding sequence and the similarity calculation result, and use the target identity coding sequence as the identification code of the pet dog pet D1 .

Specifically, the coding segments in the identity coding sequence are respectively mapped to a kind of reference biometric information, and after the comparison is completed, the identity coding sequence with the largest number of coding segments that contains the aligned reference biometric information mapping is determined as the target identity coding sequence, If there are two or more identity coding sequences that contain the most consistent and identical reference biometric information mapping coding segments, the identity coding sequence of the biometric coding segment corresponding to the target image with greater similarity will be included. It is determined as the target identity coding sequence, and the target identity coding sequence is used as the identification code of the pet dog.

Step 218: Use the identification code to query the historical insurance application records and medical visit records of the pet dog pet D1, and determine the insurance type for the pet dog pet D1 based on the historical insurance application records and historical medical visit records.

The embodiment of this specification adopts the method of image recognition to identify the biometric information of the pet dog in the image, and maps the biometric information with the reference biometrics of the different code segments of the pet dog’s electronic ID card stored in the database. The information is compared to identify the pet dog, which improves the feasibility of the pet dog identification method, and the identification of the pet dog's identity by shooting, not only guarantees the safety of the feed, but also improves the identity of the pet dog Convenience of identification.

Corresponding to the above-mentioned method embodiments, this specification also provides an embodiment of a feeder identification device, and FIG. 3 shows a schematic structural diagram of a feeder identification device provided by an embodiment of this specification. As shown in FIG. 3, the device includes: a similarity calculation module 302, configured to obtain a first biometric image and a second biometric image of the nutrient to be identified, and calculate the difference between the first biometric image and the database. The similarity of the reference biometric image of each nutrient; the reading module 304 is configured to use the reference biometric image that meets the preset conditions in the similarity calculation result as the target image, and read the biological image that contains the corresponding target image. The identity coding sequence of the characteristic coding segment; the comparison module 306 is configured to extract the biological characteristic information to be recognized of the second biological characteristic image, and map the biological characteristic information to be recognized with the category coding segment in the identity coding sequence Querying module 308 is configured to query the target identity coding sequence according to the number of aligned coding segments contained in the identity coding sequence and the similarity calculation result, and compare the target identity The coding sequence serves as the identification code of the nutrient to be identified.

Optionally, the biometric information to be identified includes the category information to be identified, and the category code segment includes a category code segment; correspondingly, the comparison module 306 includes: a mapping relationship table reading sub-module configured to Read in the database a mapping relationship table constructed in advance based on the mapping relationship between each reference biometric information and the category code segment; the reference category information query sub-module is configured to query the category code segment mapping in the mapping relationship table Reference category information; a category information comparison sub-module configured to compare the category information to be identified with the reference category information mapped by the category code segment.

Optionally, the biometric information to be identified further includes information about the species to be identified, and the category code segment also includes a species code segment; correspondingly, the comparison module 306 further includes: a first identity code sequence screening submodule , Is configured to screen the identity coding sequence containing the aligned category coding segment as the first identity coding sequence set according to the comparison result; the reference species information query sub-module is configured to query the first identity coding sequence in the mapping relationship table The reference variety information mapped to the variety code segment in each identity encoding sequence included in an identity encoding sequence set; the variety information comparison sub-module is configured to map the reference variety information to the variety code segment to be identified Compare.

Optionally, the biometric information to be identified further includes gender information to be identified, and the category code segment also includes a gender code segment; correspondingly, the comparison module 306 further includes: a second identity code sequence screening submodule , Configured to screen the first identity coding sequence set containing the identity coding sequence of the aligned variety coding segment as the second identity coding sequence set according to the comparison result; the reference gender information query sub-module is configured to The mapping relationship table is queried for reference gender information mapped to gender coding segments in each identity coding sequence contained in the second identity coding sequence set; a gender information comparison sub-module is configured to compare the gender information to be identified with The reference gender information mapped by the gender coding segment is compared.

Optionally, the query module 308 includes: a first query sub-module configured to compare the number of identical coding segments contained in each identity coding sequence in the second identity coding sequence set and the similarity calculation result Query the target identity coding sequence in the second identity coding sequence set, and use the target identity coding sequence as the identity identification code of the food to be identified.

Optionally, the query module 308 includes: a determining sub-module configured to determine the number of biometric information that is consistent with the biometric information to be identified, which is mapped to the category code segment in the identity coding sequence, as The number of aligned coding segments contained in the identity coding sequence; a screening sub-module configured to screen the identity coding sequence containing the largest number of aligned coding segments as the third identity coding sequence set; the judging sub-module is configured to Determine whether the number of identity coding sequences in the third identity coding sequence set is equal to 1; if the execution result of the judgment submodule is yes, run the first target identity coding sequence determination submodule; the first target identity coding The sequence determination sub-module is configured to determine the identity coding sequence in the third identity coding sequence set as the target identity coding sequence; if the execution result of the judgment submodule is no, run the second target identity coding Sequence determination submodule; the second target identity coding sequence determination submodule is configured to include the biometric feature corresponding to the target image with the highest similarity to the first biometric image in the third identity coding sequence set The identity coding sequence of the coding segment is determined as the target identity coding sequence.

Optionally, the nutrient identity recognition device further includes: a judging module configured to determine whether there is a similarity between the reference biometric image of any nutrient and the first biometric image in the similarity calculation result The degree meets the preset similarity threshold; if the execution result of the judgment module is no, the reading module is run.

Optionally, the identity coding sequence further includes an attribute coding segment; correspondingly, the nurture identity recognition device further includes: an identity coding sequence screening module configured to screen the category codes that contain the alignment consistency according to the comparison result Segment of the identity coding sequence as the fourth identity coding sequence set; the attribute information comparison module is configured to extract the to-be-identified attribute information of the first biometric image or the second biometric image, and compare the to-be-identified attribute information The information is compared with the reference attribute information mapped by the attribute code segment contained in each identity code sequence in the fourth identity code sequence set.

Optionally, the attribute information to be identified includes age information to be identified, and the attribute code segment includes an age code segment; correspondingly, the attribute information comparison module includes: a submodule for determining age information to be identified, configured to The first biometric image or the second biometric image is input to a pre-trained age recognition model, and the output age recognition result is obtained as the age information to be recognized; the age information judgment sub-module is configured to judge the Whether the reference age information mapped by the age code segment belongs to the age range included in the age information to be identified; if the execution result of the age information judging submodule is yes, run the comparison result determination submodule; the comparison result The determining sub-module is configured to determine that the comparison result of the comparison between the to-be-identified age information and the reference age information mapped by the age code segment is consistent.

Optionally, the attribute information to be identified further includes attribute information of the location to be identified, and the attribute encoding segment includes a position encoding segment; correspondingly, the attribute information comparison module further includes: an identity encoding sequence set determining sub-module, Is configured to screen the identity coding sequence containing the aligned age coding segment as the fifth identity coding sequence set according to the comparison result; the position attribute information detection sub-module is configured to detect the first biometric image or the second 2. Whether the location attribute information is carried in the biometric image; if the execution result of the location attribute information detection sub-module is yes, then the location attribute information comparison sub-module is run; the location attribute information comparison sub-module is configured to extract The location attribute information is used as the location attribute information to be identified, and the location attribute information to be identified is compared with the reference location attribute information mapped from the location code segment included in each identity coding sequence in the fifth identity coding sequence set .

Optionally, the query module 308 includes: a second target identity coding sequence query sub-module configured to compare the number of identical coding segments contained in each identity coding sequence in the fifth identity coding sequence set and the The similarity calculation result queries the target identity coding sequence, and uses the target identity coding sequence as the identity identification code of the nutrient to be identified.

The foregoing is a schematic solution of a nutrient identity recognition device of this embodiment. It should be noted that the technical solution of the feeder identification device belongs to the same concept as the above-mentioned technical solution of the feeder identification method. For details that are not described in detail in the technical solution of the feeder identification device, please refer to the aforementioned feeder Description of the technical scheme of the identification method.

Fig. 4 shows a structural block diagram of a computing device 400 according to an embodiment of the present specification. The components of the computing device 400 include but are not limited to a memory 410 and a processor 420. The processor 420 and the memory 410 are connected through a bus 430, and the database 450 is used to store data.

The computing device 400 also includes an access device 440 that enables the computing device 400 to communicate via one or more networks 460. Examples of these networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. The access device 440 may include one or more of any type of wired or wireless network interface (for example, a network interface card (NIC)), such as IEEE802.11 wireless local area network (WLAN) wireless interface, global interconnection for microwave access ( Wi-MAX) interface, Ethernet interface, universal serial bus (USB) interface, cellular network interface, Bluetooth interface, near field communication (NFC) interface, etc.

In an embodiment of this specification, the aforementioned components of the computing device 400 and other components not shown in FIG. 4 may also be connected to each other, for example, via a bus. It should be understood that the structural block diagram of the computing device shown in FIG. 4 is only for the purpose of example, and is not intended to limit the scope of this specification. Those skilled in the art can add or replace other components as needed.

The computing device 400 can be any type of stationary or mobile computing device, including mobile computers or mobile computing devices (for example, tablet computers, personal digital assistants, laptop computers, notebook computers, netbooks, etc.), mobile phones (for example, smart phones). ), wearable computing devices (for example, smart watches, smart glasses, etc.) or other types of mobile devices, or stationary computing devices such as desktop computers or PCs. The computing device 400 may also be a mobile or stationary server.

Wherein, the memory 410 is used to store computer-executable instructions, and the processor 420 is used to execute the following computer-executable instructions: obtain a first biometric image and a second biometric image of the nutrients to be identified, and calculate the first The similarity between the biometric image and the reference biometric image of multiple nutrients in the database; the reference biometric image that meets the preset conditions in the similarity calculation result is used as the target image, and the biometric feature corresponding to the target image is read The identity coding sequence of the coding segment; extracting the biometric information to be recognized of the second biometric image, and comparing the biometric information to be recognized with the reference biometric information mapped by the category coding segment in the identity coding sequence; The target identity coding sequence is queried according to the number of aligned coding segments contained in the identity coding sequence and the similarity calculation result, and the target identity coding sequence is used as the identity identification code of the nutrient to be identified.

The foregoing is a schematic solution of a computing device of this embodiment. It should be noted that the technical solution of the computing device belongs to the same concept as the technical solution of the above-mentioned nutrient identification method. For details that are not described in detail in the technical solution of the computing device, please refer to the technical solution of the above-mentioned nutrient identification method. description of.

An embodiment of the present specification also provides a computer-readable storage medium, which stores computer instructions, which are used to implement the steps of the method for identifying food for food when the instructions are executed by a processor.

The foregoing is a schematic solution of a computer-readable storage medium of this embodiment. It should be noted that the technical solution of the storage medium belongs to the same concept as the technical solution of the above-mentioned feeder identification method. For details that are not described in detail in the technical solution of the storage medium, please refer to the above-mentioned technical solution of the feeder identification method description of.

The foregoing describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims may be performed in a different order than in the embodiments and still achieve desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown in order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

The computer instructions include computer program codes, and the computer program codes may be in the form of source code, object code, executable files, or some intermediate forms. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory) , Random Access Memory (RAM, Random Access Memory), electrical carrier signal, telecommunications signal, and software distribution media, etc. It should be noted that the content contained in the computer-readable medium can be appropriately added or deleted according to the requirements of the legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to the legislation and patent practice, the computer-readable medium Does not include electrical carrier signals and telecommunication signals.

It should be noted that for the foregoing method embodiments, for simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should know that the embodiments of this specification are not subject to the described sequence of actions. Limitation, because according to the embodiments of this specification, some steps can be performed in other order or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the involved actions and modules are not necessarily all required by the embodiments of the specification.

In the above-mentioned embodiments, the description of each embodiment has its own focus. For a part that is not described in detail in an embodiment, reference may be made to related descriptions of other embodiments.

The preferred embodiments of this specification disclosed above are only used to help explain this specification. The optional embodiments do not describe all the details in detail, nor do they limit the invention to only the specific implementations described. Obviously, many modifications and changes can be made according to the content of the embodiments of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of this specification, so that those skilled in the art can understand and use this specification well. This description is only limited by the claims and their full scope and equivalents.

Claims (15)

1. A method for identification of foodstuffs, including:

   Acquiring the first biometric image and the second biometric image of the nutrient to be identified, and calculating the similarity between the first biometric image and the reference biometric image of the plurality of nutrients in the database;

   Taking the reference biometric image that meets the preset conditions in the similarity calculation result as the target image, and reading the identity coding sequence containing the biometric coding segment corresponding to the target image;

   Extracting the biological characteristic information to be identified of the second biological characteristic image, and comparing the biological characteristic information to be identified with the reference biological characteristic information mapped by the category code segment in the identity coding sequence;

   The target identity coding sequence is queried according to the number of aligned coding segments contained in the identity coding sequence and the similarity calculation result, and the target identity coding sequence is used as the identity identification code of the nutrient to be identified.
2. The method for identifying the identity of the nourishment according to claim 1, wherein the biological feature information to be identified includes information about the type to be identified, and the category code segment includes a category code segment;

   Correspondingly, the comparing the biological characteristic information to be identified with the reference biological characteristic information mapped to the category code segment in the identity coding sequence includes:

   Read the mapping relationship table constructed in advance according to the mapping relationship between each reference biometric information and the category code segment in the database;

   Query the reference category information mapped by the category code segment in the mapping relationship table;

   The category information to be identified is compared with the reference category information mapped by the category code segment.
3. According to the method of claim 2, wherein the biometric information to be identified further includes information about the species to be identified, and the category code segment further includes a species code segment;

   Correspondingly, after the sub-step of comparing the category information to be identified with the reference category information mapped from the category code segment is performed, the method further includes:

   According to the comparison result, select the identity coding sequence containing the aligned category coding segment as the first identity coding sequence set;

   Inquiring in the mapping relationship table for the reference variety information mapped to the variety code segment in each identity encoding sequence contained in the first identity encoding sequence set;

   The variety information to be identified is compared with the reference variety information mapped by the variety code segment.
4. According to the method for identifying the identity of the food of claim 3, the biological feature information to be identified further includes gender information to be identified, and the category code segment further includes a gender code segment;

   Correspondingly, after the step of comparing the to-be-identified variety information with the reference variety information mapped by the variety code segment is executed, the method further includes:

   Screening, according to the comparison result, the identity coding sequences containing the aligned varieties coding segments from the first identity coding sequence set as the second identity coding sequence set;

   Querying the mapping relationship table for reference gender information mapped to gender coding segments in each identity coding sequence included in the second identity coding sequence set;

   The gender information to be identified is compared with the reference gender information mapped by the gender coding segment.
5. The method for identification of feedstuffs according to claim 4, wherein the target identity coding sequence is inquired according to the number of aligned coding segments contained in the identity coding sequence and the similarity calculation result, and the target identity is encoded The sequence, as the identification code of the nutrient to be identified, includes:

   According to the number of aligned coding segments contained in each identity coding sequence in the second identity coding sequence set and the similarity calculation result, the target identity coding sequence is queried in the second identity coding sequence set, and The target identity coding sequence is used as the identity identification code of the nutrient to be identified.
6. The method for identifying the identity of feeder animals according to claim 1, wherein the query of the target identity coding sequence according to the number of aligned coding segments contained in the identity coding sequence and the similarity calculation result comprises:

   Determining the number of biometric information that is consistent with the comparison of the biological feature information to be identified, which is mapped by the category code segment in the identity coding sequence, as the number of code segments that are included in the identity coding sequence and is consistent with the comparison;

   Screening the identity coding sequence with the largest number of aligned coding segments and constructing a third identity coding sequence set based on the screening result;

   Judging whether the number of identity coding sequences in the third identity coding sequence set is equal to 1;

   If yes, determine the identity coding sequence in the third identity coding sequence set as the target identity coding sequence;

   If not, the third identity coding sequence set containing the identity coding sequence of the biometric coding segment corresponding to the target image with the highest similarity to the first biometric image is determined as the target identity coding sequence.
7. The method of claim 1, wherein the first biometric image and the second biometric image of the nutrient to be identified are acquired, and the difference between the first biometric image and the plurality of nutrients in the database is calculated. After the similarity step of the reference biometric image is executed, the reference biometric image that meets the preset conditions in the similarity calculation result is used as the target image, and the identity coding sequence containing the biometric coding segment corresponding to the target image is read Before the steps are executed, it also includes:

   Judging whether the similarity between the reference biometric image of any nutrient and the first biometric image meets a preset similarity threshold in the similarity calculation result;

   If not, execute the step of using the reference biometric image satisfying the preset condition in the similarity calculation result as the target image, and reading the identity coding sequence containing the biometric coding segment corresponding to the target image.
8. The method for identifying the nourishment identity according to claim 1, wherein the identity coding sequence further comprises an attribute coding segment;

   Correspondingly, after the step of extracting the biological characteristic information to be identified of the second biological characteristic image and comparing the biological characteristic information to be identified with the reference biological characteristic information mapped by the category code segment in the identity coding sequence is performed , Said querying the target identity coding sequence according to the number of aligned coding segments contained in the identity coding sequence and the similarity calculation result, and using the target identity coding sequence as the identity identification code of the food to be identified Before the steps are executed, it also includes:

   According to the comparison result, the identity coding sequence that contains the aligned category coding segment is selected as the fourth identity coding sequence set;

   Extract the to-be-identified attribute information of the first biometric image or the second biometric image, and map the to-be-identified attribute information to the attribute code segment contained in each identity coding sequence in the fourth identity coding sequence set Baseline attribute information is compared.
9. 8. The method for identifying the identity of the nourishment according to claim 8, wherein the attribute information to be identified includes age information to be identified, and the attribute code segment includes an age code segment;

   Correspondingly, said extracting the attribute information to be identified of the first biometric image or the second biometric image, and combining the attribute information to be identified with the information contained in each identity coding sequence in the fourth identity coding sequence set The reference attribute information mapped by the attribute code segment is compared, including:

   Inputting the first biometric image or the second biometric image into a pre-trained age recognition model, and obtaining the output age recognition result as the to-be-recognized age information;

   Judging whether the reference age information mapped by the age code segment belongs to the age range included in the age information to be identified;

   If yes, it is determined that the comparison result of the comparison between the to-be-identified age information and the reference age information mapped by the age code segment is consistent.
10. The method for identifying the identity of the feeder animals according to claim 9, wherein the attribute information to be identified further includes attribute information of the location to be identified, and the attribute code segment includes a location code segment;

    Correspondingly, after the step of determining that the comparison result of comparing the to-be-identified age information with the reference age information mapped by the age coding segment is a consistent comparison step is performed, the method further includes:

    According to the comparison result, the identity coding sequence containing the age coding segment that is consistent in the comparison is selected as the fifth identity coding sequence set;

    Detecting whether the first biometric image or the second biometric image carries location attribute information;

    If yes, extract the location attribute information as the location attribute information to be identified, and map the location attribute information to the reference location attribute of the location code segment included in each identity code sequence in the fifth identity code sequence set Information is compared.
11. The method for identification of feeder animals according to claim 10, wherein the target identity coding sequence is inquired according to the number of aligned coding segments contained in the identity coding sequence and the similarity calculation result, and the target identity is encoded The sequence, as the identification code of the nutrient to be identified, includes:

    Query the target identity coding sequence according to the number of aligned coding segments contained in each identity coding sequence in the fifth identity coding sequence set and the similarity calculation result, and use the target identity coding sequence as the nutrient to be identified Identification code.
12. An identity recognition device for nourishment, including:

    The similarity calculation module is configured to obtain the first biometric image and the second biometric image of the nutrient to be identified, and calculate the similarity between the first biometric image and the reference biometric image of multiple nutrients in the database ；

    A reading module configured to use a reference biometric image that meets a preset condition in the similarity calculation result as a target image, and read an identity code sequence containing a biometric code segment corresponding to the target image;

    The comparison module is configured to extract the biometric information to be identified from the second biometric image, and compare the biometric information to be identified with the reference biometric information mapped to the category code segment in the identity coding sequence;

    The query module is configured to query the target identity coding sequence according to the number of aligned coding segments contained in the identity coding sequence and the similarity calculation result, and use the target identity coding sequence as the nutrient to be identified Identification code.
13. The device for identifying the nourishment identity according to claim 12, the query module comprises:

    The determining sub-module is configured to determine the number of biometric information that is consistent with the comparison of the biometric information to be identified, which is mapped to the category code segment in the identity coding sequence, as the number of the biometric information included in the identity coding sequence that is consistent with the comparison Number of coding segments;

    The screening sub-module is configured to screen the identity coding sequence containing the largest number of aligned coding segments as the third identity coding sequence set;

    The judging sub-module is configured to judge whether the number of identity code sequences in the third identity code sequence set is equal to 1;

    If the execution result of the judgment sub-module is yes, run the first target identity coding sequence determination sub-module;

    The first target identity coding sequence determining submodule is configured to determine the identity coding sequence in the third identity coding sequence set as the target identity coding sequence;

    If the execution result of the judgment sub-module is no, run the second target identity coding sequence determination sub-module;

    The second target identity coding sequence determining submodule is configured to encode the identity coding of the biometric coding segment corresponding to the target image with the highest similarity to the first biometric image in the third identity coding sequence set The sequence is determined as the target identity coding sequence.
14. A computing device including:

    Memory and processor;

    The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions:

    Acquiring the first biometric image and the second biometric image of the nutrient to be identified, and calculating the similarity between the first biometric image and the reference biometric image of the plurality of nutrients in the database;

    Taking the reference biometric image that meets the preset conditions in the similarity calculation result as the target image, and reading the identity coding sequence containing the biometric coding segment corresponding to the target image;

    Extracting the biological characteristic information to be identified of the second biological characteristic image, and comparing the biological characteristic information to be identified with the reference biological characteristic information mapped by the category code segment in the identity coding sequence;

    The target identity coding sequence is queried according to the number of aligned coding segments contained in the identity coding sequence and the similarity calculation result, and the target identity coding sequence is used as the identity identification code of the nutrient to be identified.
15. A computer-readable storage medium, which stores computer instructions, which when executed by a processor, realizes the steps of the method for identifying the nourishment in any one of claims 1 to 11.

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