CN109145786B - Picture identification method, device, equipment, medium and product - Google Patents
Picture identification method, device, equipment, medium and product Download PDFInfo
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- CN109145786B CN109145786B CN201810891297.3A CN201810891297A CN109145786B CN 109145786 B CN109145786 B CN 109145786B CN 201810891297 A CN201810891297 A CN 201810891297A CN 109145786 B CN109145786 B CN 109145786B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/09—Recognition of logos
Abstract
The application discloses a picture identification method, a device, equipment, a medium and a product. The method comprises the following steps: receiving a picture sent by a first terminal, wherein the picture comprises at least one person wearing a chest card; identifying the chest card and the head portrait of the person in the picture; identifying the information of the chest card and determining the identification information of the person; and sending the portrait of the person and the identification information to the first terminal and/or sending the portrait of the person and the identification information to the second terminal based on a second terminal identification corresponding to the identification information of the person. The method can avoid the technical difficulty of figure identification by aiming at the problem that the identification rate of image figure identification is not high under the current technical condition, and the success rate of face identification is improved by adopting an object class identification and retrieval method to assist face identification.
Description
Technical Field
The present application relates to the field of image processing, and in particular, to a method, an apparatus, a device, a medium, and a product for image recognition.
Background
The characteristics of human faces as biological features cause difficulties in portrait recognition. Portrait recognition is one of the most difficult research topics in the field of biometric identification and even in the field of artificial intelligence. First, the difference between different individuals is not large, the structures of all faces are similar, and even the structural shapes of face organs are similar. Such features are advantageous for localization using human faces, but disadvantageous for distinguishing human individuals using human faces; secondly, the shape of the face is unstable, a person can generate many expressions through the change of the face, and the visual image of the face is greatly different at different observation angles, and in addition, the face recognition is also influenced by various factors such as illumination conditions (such as day and night, indoor and outdoor, and the like), many coverings of the face (such as a mask, sunglasses, hair, beard, and the like), age, and the definition of the image. Therefore, the accuracy of face recognition in an image is greatly affected.
Disclosure of Invention
It is an object of the present application to overcome the above problems or to at least partially solve or mitigate the above problems.
According to an aspect of the present application, there is provided a picture recognition method, including:
a picture receiving step: receiving a picture sent by a first terminal, wherein the picture comprises at least one person wearing a chest card;
picture analysis step: identifying the chest card and the head portrait of the person in the picture;
identifying chest card information: identifying the information of the chest card and determining the identification information of the person;
and an identification result sending step: and sending the head portrait and the identification information of the person to a second terminal based on a second terminal identification corresponding to the identification information of the person.
The method can avoid the technical difficulty of figure identification by aiming at the problem that the identification rate of image figure identification is not high under the current technical condition, and the success rate of face identification is improved by adopting an object class identification and retrieval method to assist face identification. The method can be applied to many occasions, for example, the method is suitable for a student check-in scene of a small class system.
Optionally, before the step of sending the identification result, the method further includes:
a first terminal confirmation step: and sending the head portrait of the person and the identification information to the first terminal, and receiving first confirmation information sent by the first terminal.
The step adds a link of first terminal confirmation, and after the first terminal confirms, the information is sent to the second terminal, so that the accuracy of the information received by the second terminal is improved.
Optionally, after the step of sending the identification result, the method further includes:
a confirmation information receiving step: and receiving second confirmation information sent by the second terminal under the condition that the second terminal receives the head portrait and the identification information of the person and confirms the correctness.
The step can realize the confirmation of the portrait of the person through the confirmation of the second terminal, so that the aim of identifying the identity of the person can be fulfilled by not directly identifying the image of the portrait.
Optionally, in the chest card information identifying step, the information of the chest card includes: and text information and/or graphic information representing the identification information.
The step can identify different types of chest cards, so that the application occasion and range of the method are expanded, and the method is more flexible to use.
Optionally, the picture receiving step includes:
a receiving step: receiving a picture sent by a first terminal;
a judging step: and executing the picture analysis step under the condition that the shooting time of the picture meets a first time threshold value.
This step avoids erroneous results from analysis using already stored pictures, rather than analysis of a currently live picture. Optionally, in the chest card information identification step, the identification information of the person and the corresponding second terminal identification are obtained through the following steps:
receiving the identification information of the person and the identification of the second terminal sent by the second terminal;
establishing a corresponding relation between the identification information of the person and a second terminal identification and storing the corresponding relation;
and sending the result of successful storage to the second terminal.
The step can store the identification information of the person and the identification of the second terminal in advance, so that the second terminal can conveniently verify the identification result.
According to another aspect of the present application, there is also provided a picture recognition apparatus, including:
the picture receiving module is configured to receive a picture sent by a first terminal, wherein the picture comprises at least one character wearing a chest card;
a picture analysis module configured for picture analysis;
a chest card information identification module configured to identify information of the chest card, determine identification information of the person; and
a recognition result transmitting module configured to transmit the avatar and identification information of the person to the first terminal and/or transmit the avatar and identification information of the person to the second terminal based on a second terminal identification corresponding to the identification information of the person.
The device can avoid the technical difficulty of figure identification by aiming at the problem that the identification rate of image figure identification is not high under the current technical condition, and the success rate of face identification is improved by adopting an object class identification and retrieval method to assist face identification. The method can be applied to many occasions, for example, the method is suitable for a student check-in scene of a small class system.
Optionally, the apparatus further comprises:
a confirmation information receiving module configured to receive second confirmation information sent by the second terminal in a case where the second terminal receives the avatar and the identification information of the person and confirms correctness.
According to another aspect of the present application, there is also provided a computing device comprising a memory, a processor and a computer program stored in the memory and executable by the processor, wherein the processor implements the method as described above when executing the computer program.
According to another aspect of the application, there is also provided a computer-readable storage medium, preferably a non-volatile readable storage medium, having stored therein a computer program which, when executed by a processor, implements the method as described above.
According to another aspect of the present application, there is also provided a computer program product comprising computer readable code which, when executed by a computing device, causes the computing device to perform the method as described above.
The above and other objects, advantages and features of the present application will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
Some specific embodiments of the present application will be described in detail hereinafter, by way of illustration and not limitation, with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:
FIG. 1 is a schematic flow chart diagram of one embodiment of a picture identification method according to the present application;
FIG. 2 is a schematic flow chart diagram of another embodiment of a picture identification method according to the present application;
FIG. 3 is a schematic block diagram of one embodiment of a picture recognition device, according to the present application;
FIG. 4 is a schematic block diagram of another embodiment of a picture recognition apparatus according to the present application;
FIG. 5 is a schematic flow chart diagram illustrating one embodiment of a check-in process according to the present application;
FIG. 6 is a schematic flow chart diagram illustrating another embodiment of a check-in procedure according to the present application;
FIG. 7 is a schematic flow chart diagram illustrating one embodiment of a chest card identification process in accordance with the present application;
FIG. 8 is a schematic flow chart diagram of another embodiment of a chest card identification process in accordance with the present application;
FIG. 9 is a block diagram of one embodiment of a computing device of the present application;
FIG. 10 is a block diagram of one embodiment of a computer-readable storage medium of the present application.
Detailed Description
The above and other objects, advantages and features of the present application will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of a portion of the invention and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The term "person" as used herein is to be understood broadly to include not only humans, but also objects, wherein the objects may include animals, plants, articles, and the like.
The embodiment of the application provides a picture identification method. Fig. 1 is a schematic flow chart diagram of one embodiment of a picture identification method according to the present application. It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
The method can comprise the following steps:
s100, picture receiving: receiving a picture sent by a first terminal, wherein the picture comprises at least one person wearing a chest card;
s200, picture analysis: identifying the chest card and the head portrait of the person in the picture;
s300, chest card information identification: and identifying the information of the chest card and determining the identification information of the person.
After obtaining the avatar and identification information of the person, the information may optionally be sent to the first terminal for confirmation by the first terminal. Optionally, the information may also be sent to the second terminal, and the second terminal may perform confirmation. Optionally, the first terminal may send the confirmation to the first terminal, and then send the confirmation to the second terminal.
Therefore, in an alternative embodiment, the method further comprises S400 an identification result sending step of: and sending the head portrait and the identification information of the person to a second terminal based on a second terminal identification corresponding to the identification information of the person.
The method can avoid the technical difficulty of figure identification by aiming at the problem that the identification rate of image figure identification is not high under the current technical condition, and the success rate of face identification is improved by adopting an object class identification and retrieval method to assist face identification. The method can be applied to many occasions, for example, the method is suitable for a student check-in scene of a small class system.
In the S100 picture receiving step, the person includes but is not limited to a human being, and may also be an animal or other object to be identified. The picture may include one person, or may include more than two or even more persons. The chest card can be worn at any position, as long as the chest card and the content in the chest card can be displayed in the picture.
The chest card can be manufactured by adopting a chest card manufacturing device, and the chest card manufacturing device comprises a template manufacturing unit, a template library, an identification information generating unit and a chest card manufacturing unit. The template making unit is used for making a chest card template and storing the made chest card in the template library. The chest card template has obvious characteristic points, which is beneficial to extracting characteristics during picture recognition, thereby improving the recognition rate and speed. The identification information generating unit is used for calling the template from the template library according to the person information to generate identification information or generating identification information in a two-dimensional code form according to the person information. The chest card making unit makes a corresponding chest card according to the output of the identification information generating unit.
The templates stored in the template library have feature points, for example, feature pictures including boxes with specific laces at the edges of the templates. Therefore, the position of the chest card in the picture can be conveniently identified in the picture analysis. When the template is used, characters are arranged in the middle of the template. Text includes, but is not limited to, the following information: name, class, category, etc. The text can be Chinese, English or other language text and various fonts. The text may be visible to the human eye or invisible or visible to the human eye and may be recognized by a specific instrument, such as an infrared or ultraviolet camera or recognition device, to increase security and safety.
Because the two-dimensional code has obvious characteristics and the name information is contained in the two-dimensional code, the two-dimensional code is simple and convenient to manufacture and use, so that the person information such as the name can be directly input to generate the two-dimensional code, the chest card is manufactured based on the two-dimensional code, and the chest card is attached or hung on the body of the person, such as the chest.
It can be understood that two-dimensional codes and characters can be used in one chest card at the same time to improve the recognition effect and provide more intuitive information for people.
In the S100 picture receiving step, a picture sent by the first terminal is received, where the picture may be a picture taken by the first terminal or a picture stored in the first terminal.
Optionally, the S100 picture receiving step includes:
a receiving step: receiving a picture sent by a first terminal;
a judging step: and executing the picture analysis step under the condition that the shooting time of the picture meets a first time threshold value. In an alternative embodiment, the picture analyzing step is performed in case the picture was taken by the first terminal.
This step can improve the confidence level of the recognition result. The step can be performed by a special device, for example, an application program (APP) in the mobile terminal, and the setting cannot be called from an original picture library of the device, but only can be uploaded to a server for recognition and analysis immediately after the photographing. For example, in the case of check-in, which requires taking a picture on site, it is impossible to use an old picture for counterfeiting. The purpose of live filming is to ensure that, in some scene applications, the old picture is not used for counterfeiting. Therefore, the terminal is limited to take pictures only and cannot call the original stored pictures, and authenticity can be better guaranteed through confirmation of the second terminal.
In the picture analysis step S200, the chest card and the avatar of the person in the picture can be obtained by image analysis. If people in the picture are photographed in a row and each person wears a chest card, the face and the chest card photographed in the picture are in one-to-one correspondence from left to right. Therefore, in the face recognition step, the recognized faces are filled into the first array according to the sequence from left to right, in the chest card recognition step, the recognized chest cards are filled into the second array according to the sequence from left to right, and the faces and the chest cards are generally in one-to-one correspondence on the picture coordinate system. For example, the first array is, from left to right: face [0], face [1], face [2], face [3 ]; the second array, from left to right, is: name [0], name [1], name [2], and name [3 ]. Obviously, face 0 and name 0 are the same person, face 1 and name 1 are the same person, face 2 and name 2 are the same person, and face 3 and name 3 are the same person. The method is simple and easy to operate, people can be identified with high efficiency by identifying the mode of wearing the chest card, and particularly the two-dimensional code chest card can be identified with higher efficiency.
Optionally, the S300 chest card information identifying step includes:
identifying the head portrait in the picture to obtain the coordinates of the head portrait;
calling a chest card template based on the coordinates of the head portrait, and identifying a chest card in a picture based on the chest card template to obtain the coordinates of the chest card, wherein the chest card template is a template in a character form or a template in a graphic form;
and recognizing characters or figures in the chest card based on the coordinates of the chest card, and determining the identification information of the character.
In the step, under the condition that the chest card is a template in a character form, screenshot is carried out on characters in the picture based on the coordinates of the chest card, and character recognition is carried out on the screenshot part; in the case where the chest card is a template in the form of a figure, the figure in the picture, for example, a two-dimensional code, is recognized based on the coordinates of the chest card.
Optionally, in the S400 recognition result sending step, the second terminal identifier corresponding to the identification information of the person is obtained by:
receiving the identification information of the person and the identification of the second terminal sent by the second terminal;
establishing a corresponding relation between the identification information of the person and a second terminal identification and storing the corresponding relation;
and sending the result of successful storage to the second terminal.
This step may enable registration of the user. The user can send the name of the user who takes part in the activities such as training, meeting, courses and the like to the server through the application program in the second terminal in advance, and the sent information contains the identification of the second terminal, wherein the identification can be the user ID in the application program or a hardware identifier.
Optionally, before the step of sending the recognition result of S400, the method may further include a first terminal confirmation step of sending the avatar of the person and the identification information to the first terminal and receiving the first confirmation information sent by the first terminal. That is, identification information of a person identified based on all or part of the chest cards in the picture may be transmitted to the first terminal, and after the identification information is confirmed by the first terminal, the first confirmation information transmitted by the first terminal may be received. This may be arranged as desired, for example in a database arranged to send all or part of the person's identification information back to the first terminal that sent the picture.
After receiving the first confirmation information of the first terminal, the recognition result transmitting step of S400 is performed to transmit the avatar of the person and the identification information to the second terminal based on the second terminal identification corresponding to the identification information of the person. That is, the personal identification information of a certain person may be associated with one or more of the first terminal identification, the second terminal identification, and the other terminal identifications in the database. Specifically, to which terminal the information is sent, how the sending order can be set as required.
The first terminal confirmation step is an optional step. For example, a teacher who takes a picture in a practical application scene of signing in firstly receives a processing result of a server by using a first terminal, judges whether the head portrait and the name are correct, sends first confirmation information to the server after the teacher checks that the processing of the server is correct, the server receives the first confirmation information, and then sends the head portrait and the name to a second terminal held by a parent, so that the result received by the parent is correct.
Fig. 2 is a schematic flow chart diagram of another embodiment of a picture identification method according to the present application. Optionally, after the step of sending the identification result, the method may further include:
s500 confirmation information receiving step: and receiving second confirmation information sent by the second terminal under the condition that the second terminal receives the head portrait and the identification information of the person and confirms the correctness.
The step can realize the confirmation of the portrait of the person through the confirmation of the second terminal, so that the aim of identifying the identity of the person can be fulfilled by not directly identifying the image of the portrait.
The method can be operated at a server side, and the server is connected with the first terminal and the second terminal through a network. The first terminal and the second terminal may be any electronic product capable of performing human-computer interaction with a user through a keyboard, a mouse, a touch screen, a voice control device or a handwriting device, for example, a mobile phone, a smart phone, a PDA, a wearable device, a palm pc PPC or a tablet pc. Including, but not limited to, the internet, a wide area network, a metropolitan area network, a local area network, a VPN network, a wireless Ad Hoc network (Ad Hoc network), etc. Be wired connection or wireless connection between two-dimensional code display device and the receipts silver-colored device, wireless connection includes: WIFI, bluetooth, NFC, etc. The application program is a third-party application program which can be installed in the mobile equipment and provides functions of APP downloading, network resource searching, mobile phone data management and the like for a user, and can be accessed to a plurality of other APPs.
Persons participating in an activity may register with the system using a dedicated device, e.g., APP, in a server that receives a picture containing a face sent by a user holding a first terminal through the first terminal, the user may be a host, an organizer, or a teacher, the picture is usually a photo, the server analyzes the picture and combines the head portrait in the picture, a name recognized by a name badge and the picture, and the user of a second terminal may decide if the user clicks himself or herself and may decide if there is no click at a prescribed time by default; and if the participant clicks not the participant, the participant checks the data with the conflict person and then finishes the check-in.
For example, in a class-based teaching application scenario, the efficiency of check-in of a institution can be improved and the confidence level can be improved. Because the class-class teaching charges are expensive, parents are often unwilling or forgetting to sign according to the traditional parent signing mode at present, if the parents sign instead by organizations, the parents are often distrusted when the classes are settled, and the institutions are worried about the distrust. In order to avoid the situation, the method can realize efficient sign-in and class-deduction, and parents are relieved. The second terminal may be a parent's cell phone. Due to the small class system, the students generally can not exceed the number limit, for example, 15 persons, so that clear photos can be shot by a common mobile phone, the photos are taken one by one in class each time, the attendance is immediately realized, and the photos are transmitted to the mobile phone of the parents, and the parents are relieved that the institution is not in a random class-closing period.
One embodiment of the present application provides a picture recognition apparatus. FIG. 3 is a schematic block diagram of one embodiment of a picture recognition device according to the present application. The apparatus may include:
the picture receiving module 100 is configured to receive a picture sent by a first terminal, wherein the picture includes at least one character wearing a chest card;
a picture analysis module 200 configured for picture analysis;
a chest card information recognition module 300 configured to recognize information of the chest card and determine identification information of the person.
Optionally, the apparatus may further include: a recognition result transmitting module 400 configured to transmit the avatar of the person and the identification information to the second terminal based on the second terminal identification. Or optionally, the device may further include a first terminal confirmation module configured to transmit the avatar of the person and the identification information to the first terminal, and receive the first confirmation information transmitted by the first terminal. Or alternatively, the apparatus may further include the first terminal confirmation module and the identification result transmission module 400.
The device can avoid the technical difficulty of figure identification by aiming at the problem that the identification rate of image figure identification is not high under the current technical condition, and the success rate of face identification is improved by adopting an object identification and retrieval method to assist face identification. The method can be applied to many occasions, for example, the method is suitable for a student check-in scene of a small class system.
Optionally, the picture receiving module 100 includes a receiving module and a determining module. Wherein the content of the first and second substances,
the receiving module is configured to receive a picture sent by a first terminal;
a determining module configured to perform the picture analyzing step if a shooting time of the picture satisfies a first time threshold.
Optionally, in the recognition result sending module 400, the second terminal identifier corresponding to the identification information of the person is obtained by:
receiving the identification information of the person and the identification of the second terminal sent by the second terminal;
establishing a corresponding relation between the identification information of the person and a second terminal identification and storing the corresponding relation;
and sending the result of successful storage to the second terminal.
Fig. 4 is a schematic block diagram of another embodiment of a picture recognition apparatus according to the present application. Optionally, the apparatus may further include:
a confirmation information receiving module 500 configured to receive the second confirmation information sent by the second terminal in case that the second terminal receives the avatar and the identification information of the person and confirms the correctness.
An embodiment of the present application also discloses a picture recognition apparatus, including: the system comprises a sign-in service processing unit, a template recognition matching processing unit, a face type recognition unit, a name two-dimensional code generation unit, a chest card manufacturing unit, a chest card template library, a chest card recognition unit, a two-dimensional code analysis unit, a character recognition unit, a sign-in receiving terminal registration processing unit and a registration database. The sign-in receiving terminal registration processing unit is respectively connected with the sign-in terminal and the sign-in result receiving terminal.
When the registration process is realized, in the device, the sign-in receiving terminal registration processing unit receives the sign-in result receiving terminal Identification (ID) and the identification information of the person sent by the sign-in result receiving terminal, sends the terminal identification and the identification information of the person to the registration database, the registration database stores the terminal identification and the identification information of the person, and after the terminal identification and the identification information are successfully stored, the successfully stored result is sent to the sign-in receiving terminal registration processing unit, and the sign-in receiving terminal registration processing unit sends the sign-in result receiving terminal.
FIG. 5 is a schematic flow chart diagram illustrating one embodiment of a check-in process according to the present application. When the sign-in process is realized, the sign-in terminal sends the photo-combination picture and the shooting time to the sign-in service processing unit; and the sign-in service processing unit sends the photo-combination picture to the template identification matching processing unit under the condition that the shooting time is judged to meet the first time threshold. The template recognition matching processing unit recognizes the information of the chest cards, such as name information, by analyzing the chest cards in the photographic picture, and the template recognition matching processing unit sends the information of the chest cards to the registration database. The registration database inquires the sign-in result receiving terminal identification, namely the second terminal identification, based on the information of the chest card, and returns the second terminal identification to the template recognition matching processing unit. The template identification matching processing unit sends a sign-in result receiving second terminal identification, the identified information of the chest card and the character head portrait screenshot in the photo-combination picture to the sign-in service processing unit, and the sign-in service processing unit sends the sign-in information to the sign-in result receiving terminal, wherein the sign-in information comprises: and receiving a terminal identification, the identified information of the chest card and a character head portrait screenshot in the group photo picture. And after the check-in result receiving terminal confirms the check-in, the check-in confirmation result is sent to the check-in service processing unit, and the check-in service processing unit sends the confirmation result to the check-in terminal.
FIG. 6 is a schematic flow chart diagram illustrating another embodiment of a check-in procedure according to the present application. On the basis of the flow of fig. 5, a process of confirming by the first terminal is added, and the service processing unit sends the avatar of the character and the identification information to the first terminal, receives the first confirmation information sent by the first terminal, and then sends the sign-in message to the second terminal. For example, in a check-in scene, in order to avoid that the head portrait and the character information cannot be correctly identified when the identification processing is abnormal, error information is sent to a check-in result receiving end of a parent, the process of confirming by the first terminal can be added, the student chest card information and the head portrait screenshot are sent to the first terminal held by the teacher, the first terminal confirms that the processing result is correct according to the actual situation, then the confirmation check-in information is sent to the check-in service processing unit, and after the check-in service processing unit receives the information, the subsequent check-in process is started. Therefore, the fact that the sign-in information received by the second terminal held by the parent is correct is guaranteed, the fact that the parent receives the wrong sign-in information is avoided, and user experience is reduced.
FIG. 7 is a schematic flow chart diagram illustrating one embodiment of a chest card identification process in accordance with the present application. In the identification process of the character type chest card, the template identification matching processing unit sends the photo combination picture to the face identification unit, the face identification unit sends the photo combination picture to the identification unit, and the identification unit stores an identification algorithm and can identify a portrait, a coordinate of the portrait, the chest card, a coordinate of the chest card, characters, a two-dimensional code and the like in the picture. The recognition unit recognizes the position coordinates of all human faces in the coordinate system in the co-shooting picture, the position coordinates are sent to the template recognition matching processing unit, the template recognition matching processing unit sends a chest card template request to the chest card template base, the chest card template base sends a character chest card template to the template recognition matching processing unit, and the template recognition matching processing unit sends the character chest card template to the chest card recognition unit. The chest card recognition unit inputs a character chest card template into the recognition unit, the recognition unit recognizes the chest card in the co-shooting picture and sends the chest card coordinate to the template recognition matching processing unit, the template recognition matching processing unit sends the chest card coordinate to the character recognition unit to request for recognizing characters, the character recognition unit conducts screenshot on the co-shooting picture based on the chest card coordinate to obtain a chest card screenshot, and the chest card screenshot is sent to the recognition unit. The recognition unit recognizes the characters in the chest card screenshot and sends the character recognition result to the template recognition matching processing unit.
FIG. 8 is a schematic flow chart diagram of another embodiment of a chest card identification process in accordance with the present application. In the identification process of the chest card in the form of the graph, the template identification matching processing unit sends the co-shooting picture to the face identification unit, and the face identification unit sends the co-shooting picture to the identification unit. The recognition unit recognizes the position coordinates of all human faces in the co-photographing picture in the coordinate system and sends the position coordinates to the template recognition matching processing unit. The template identification matching processing unit sends a pattern chest card template request to the chest card template library, the pattern chest card template library sends the pattern chest card template to the template identification matching processing unit, and the template identification matching processing unit sends the pattern chest card template to the chest card identification unit. The chest card recognition unit inputs the pattern chest card template into the recognition unit, the recognition unit recognizes the chest card in the co-shooting picture and sends the chest card coordinate to the template recognition matching processing unit, the template recognition matching processing unit sends the chest card coordinate to the two-dimensional code analysis unit, and the two-dimensional code analysis unit recognizes the two-dimensional code and sends the recognition result to the template recognition matching processing unit.
Embodiments of the present application also provide a computing device, referring to fig. 9, comprising a memory 1120, a processor 1110 and a computer program stored in said memory 1120 and executable by said processor 1110, the computer program being stored in a space 1130 for program code in the memory 1120, the computer program realizing for performing any of the method steps 1131 according to the present invention when executed by the processor 1110. In addition, the computing device may further include: a transmission device, a display, an input/output interface (I/O interface), a Universal Serial Bus (USB) port (which may be included as one of the ports of the I/O interface), a network interface, a power source, and/or a camera. It will be understood by those skilled in the art that the structure shown in fig. 8 is only an illustration and is not intended to limit the structure of the electronic device.
It should be noted that the one or more processors 1110 and/or other data processing circuitry described above may be referred to generally herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part in software, hardware, firmware, or any combination thereof. Furthermore, the data processing circuit may be a single stand-alone processing module, or incorporated in whole or in part into any of the other elements in the computer apparatus (or mobile device). As referred to in the embodiments of the application, the data processing circuit acts as a processor control (e.g. selection of a variable resistance termination path connected to the interface).
The memory 1120 may be used to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the methods in the embodiments of the present invention, and the processor 1110 executes various functional applications and data processing by operating the software programs and modules stored in the memory 1120, so as to implement the above-mentioned vulnerability detection method for application programs. The memory 1120 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 1120 may further include memory located remotely from the processor 1110, which may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the computer device. In one example, the transmission device includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one embodiment, the transmission device may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
The display may be, for example, a touch screen type Liquid Crystal Display (LCD) that may enable a user to interact with a user interface of the computer device (or mobile device).
Embodiments of the present application also provide a computer-readable storage medium. Referring to fig. 10, the computer readable storage medium comprises a storage unit for program code provided with a program 1131' for performing the steps of the method according to the invention, which program is executed by a processor.
Embodiments of the present application also provide a computer program product containing instructions comprising computer readable code which, when executed by a computing device, causes the computing device to perform the method as described above.
In the above embodiments, all or part may be implemented by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed by a computer, cause, in whole or in part, the processes or functions described in accordance with the embodiments of the application. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the above embodiments may be implemented by a program, and the program may be stored in a computer-readable storage medium, where the storage medium is a non-transitory medium, such as a random access memory, a read-only memory, a flash memory, a hard disk, a solid state disk, a magnetic tape (magnetic tape), a floppy disk (floppy disk), an optical disk (optical disk), and any combination thereof.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention. The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A picture identification method comprises the following steps:
a picture receiving step: receiving a picture sent by a first terminal, wherein the picture comprises at least one picture
A person wearing a chest card;
picture analysis step: identifying the chest card and the head portrait of the person in the picture;
identifying chest card information: identifying the information of the chest card, namely identifying the head portrait in the picture,
obtaining the coordinates of the head portrait, calling a chest card template based on the coordinates of the head portrait, and identifying the images in the images based on the chest card template
The chest card obtains the coordinates of the chest card, wherein the chest card template is a template in a character form or a template in a graphic form,
recognizing characters or figures in the chest card based on the coordinates of the chest card, and determining the identification information of the character;
and an identification result sending step: based on the second terminal identification corresponding to the identification information of the person, the terminal will be connected with the terminal
And the head portrait and the identification information of the person are sent to the second terminal.
2. The method of claim 1, wherein the step of sending the identification result is preceded by the step of sending the identification result
Then, the method further comprises:
a confirmation information receiving step: receiving the avatar and identification information of the character at the second terminal and
and receiving second confirmation information sent by the second terminal under the condition of confirming the correctness.
3. Method according to claim 1 or 2, characterized in that in the step of sending the recognition result
Before the step, the method further comprises:
a first terminal confirmation step: transmitting the avatar of the person and the identification information to the first terminal,
and receiving first confirmation information sent by the first terminal.
4. The method of claim 1, wherein the picture receiving step comprises:
a receiving step: receiving a picture sent by a first terminal;
a judging step: if the shooting time of the picture meets a first time threshold value, executing
And analyzing the picture.
5. The method of any one of claims 1 to 4, wherein the chest token is provided on the chest card
In the information identification step, the identification information of the person and the corresponding second terminal identification are obtained through the following steps:
receiving the identification information of the person and the identification of the second terminal sent by the second terminal;
establishing a corresponding relation between the identification information of the person and a second terminal identification and storing the corresponding relation;
and sending the result of successful storage to the second terminal.
6. A picture recognition apparatus comprising:
a picture receiving module configured to receive a picture sent by a first terminal, wherein the picture is sent by the first terminal
5 comprises at least one character wearing the chest card;
a picture analysis module configured for picture analysis;
a chest card information identification module configured to identify information of the chest card, determine the character
Identification information; and
a recognition result transmitting module configured to transmit the recognition result based on the second person identification information
And the terminal identification is used for sending the head portrait of the person and the identification information to the second terminal.
7. The apparatus of claim 6, further comprising:
a confirmation information receiving module configured to receive the avatar of the person at the second terminal
And under the condition of identifying the information and confirming the correctness, receiving second confirmation information sent by the second terminal.
8. A computing device comprising a memory, a processor, and a memory capable of being stored in and accessible by the memory
Computer program run by a processor, wherein the processor implements the method when executing the computer program
The method of any one of claims 1 to 5.
9. Computer readable storage medium, preferably non-volatile readable storage medium, having stored therein
Computer program which, when executed by a processor, implements any of claims 1 to 5
The method of (1).
10. A computer program product comprising computer readable code, when said computer readable code is executed
When executed by a computing device, cause the computing device to perform the method of any of claims 1 to 5
The method is carried out.
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| CN110503094A (en) * | 2019-08-14 | 2019-11-26 | 中国电子科技集团公司第二十八研究所 | Professional certificate photo name board recognition methods, device |
| CN110874420A (en) * | 2019-11-09 | 2020-03-10 | 上海光数信息科技有限公司 | Picture information processing system and method |
| CN112329841A (en) * | 2020-11-03 | 2021-02-05 | 百度时代网络技术（北京）有限公司 | Image processing method, image processing device, electronic equipment and computer readable medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101447110A (en) * | 2004-04-09 | 2009-06-03 | 冲电气工业株式会社 | Identification system using face authentication |
| CN103581311A (en) * | 2013-10-25 | 2014-02-12 | 青岛海尔软件有限公司 | Juvenile home leaving/returning intelligent real-time monitoring system and method |
| CN103945001A (en) * | 2014-05-05 | 2014-07-23 | 百度在线网络技术（北京）有限公司 | Picture sharing method and device |
| CN204680077U (en) * | 2015-04-22 | 2015-09-30 | 河海大学 | A kind of Meeting Signature management system |
| CN105100449A (en) * | 2015-06-30 | 2015-11-25 | 广东欧珀移动通信有限公司 | Picture sharing method and mobile terminal |
| JP2016105261A (en) * | 2014-12-01 | 2016-06-09 | 株式会社ＤＳｉ | Attendance monitor device, attendance management method, attendance management system and program |
| CN106169071A (en) * | 2016-07-05 | 2016-11-30 | 厦门理工学院 | A kind of Work attendance method based on dynamic human face and chest card recognition and system |
| CN106936842A (en) * | 2016-04-11 | 2017-07-07 | 任少华 | Subscriber Management System or method |
| CN106960404A (en) * | 2017-05-03 | 2017-07-18 | 成都宏软科技实业有限公司 | A kind of wisdom education system |
| CN107277136A (en) * | 2017-06-20 | 2017-10-20 | 合肥博之泰电子科技有限公司 | A kind of monitoring system and monitoring method based on campus network |
| CN108347444A (en) * | 2018-02-26 | 2018-07-31 | 深圳智乾区块链科技有限公司 | Identity identifying method, device based on block chain and computer readable storage medium |
-
2018
- 2018-08-07 CN CN201810891297.3A patent/CN109145786B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101447110A (en) * | 2004-04-09 | 2009-06-03 | 冲电气工业株式会社 | Identification system using face authentication |
| CN103581311A (en) * | 2013-10-25 | 2014-02-12 | 青岛海尔软件有限公司 | Juvenile home leaving/returning intelligent real-time monitoring system and method |
| CN103945001A (en) * | 2014-05-05 | 2014-07-23 | 百度在线网络技术（北京）有限公司 | Picture sharing method and device |
| JP2016105261A (en) * | 2014-12-01 | 2016-06-09 | 株式会社ＤＳｉ | Attendance monitor device, attendance management method, attendance management system and program |
| CN204680077U (en) * | 2015-04-22 | 2015-09-30 | 河海大学 | A kind of Meeting Signature management system |
| CN105100449A (en) * | 2015-06-30 | 2015-11-25 | 广东欧珀移动通信有限公司 | Picture sharing method and mobile terminal |
| CN106936842A (en) * | 2016-04-11 | 2017-07-07 | 任少华 | Subscriber Management System or method |
| CN106169071A (en) * | 2016-07-05 | 2016-11-30 | 厦门理工学院 | A kind of Work attendance method based on dynamic human face and chest card recognition and system |
| CN106960404A (en) * | 2017-05-03 | 2017-07-18 | 成都宏软科技实业有限公司 | A kind of wisdom education system |
| CN107277136A (en) * | 2017-06-20 | 2017-10-20 | 合肥博之泰电子科技有限公司 | A kind of monitoring system and monitoring method based on campus network |
| CN108347444A (en) * | 2018-02-26 | 2018-07-31 | 深圳智乾区块链科技有限公司 | Identity identifying method, device based on block chain and computer readable storage medium |
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|---|---|
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