CN110990801B - Information verification method and device, electronic equipment and storage medium - Google Patents
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Abstract
The disclosure relates to an information verification method and apparatus, an electronic device and a storage medium, wherein the method comprises: acquiring watermark information in an image frame; extracting information based on the identification processing of the watermark information to obtain first text information; and carrying out information verification based on the comparison processing of the first text information and the second text information which is recorded to obtain a verification result. By adopting the method and the device, a large amount of manpower and material resources are avoided being wasted, and the accuracy of the checking result is improved.
Description
Technical Field
The present disclosure relates to the field of security technologies, and in particular, to an information verification method and apparatus, an electronic device, and a storage medium.
Background
Along with the rapid development of the intelligent security industry, more and more cameras for security monitoring are needed to maintain the information collected by the cameras. In the current operation and maintenance mode, information verification is performed in a manual verification mode, so that a large amount of manpower and material resources are wasted, and a verification result is inaccurate.
Disclosure of Invention
The present disclosure provides a technical solution for information verification.
According to an aspect of the present disclosure, there is provided an information checking method, the method including:
acquiring watermark information in an image frame;
extracting information based on the identification processing of the watermark information to obtain first text information;
and carrying out information verification based on the comparison processing of the first text information and the second text information which is recorded to obtain a verification result.
In a possible implementation manner, the type of the first text information includes: at least one information type of time information, position information and number information;
the types of the second text information include: at least one information type of time information, location information, and number information.
In a possible implementation manner, the extracting information based on the identification processing of the watermark information to obtain the first text information includes:
identifying the text sequence in the watermark information to obtain an identification result;
and under the condition that the recognition result exceeds a recognition confidence coefficient threshold value, extracting the recognition result and using the recognition result as the first text information.
In a possible implementation manner, the identifying the text sequence in the watermark information to obtain an identification result includes:
identifying the text sequence in the watermark information according to a character identification network to obtain the identification result;
the character recognition network is obtained by taking a text sequence sample as training data to carry out neural network training.
In a possible implementation manner, the acquiring watermark information in the image frame includes:
under the condition that the current time accords with the preset effective running time, collecting the image frame;
and acquiring the watermark information in the image frame based on the characteristic information identification processing of the image frame.
In a possible implementation manner, the acquiring watermark information in the image frame includes:
acquiring the image frames according to a preset time interval;
and acquiring the watermark information in the image frame based on the characteristic information identification processing of the image frame.
In a possible implementation manner, before performing information verification based on the comparison processing of the first text information and the entered second text information to obtain a verification result, the method further includes:
acquiring clock information related to the image frame acquisition;
judging whether the clock information is larger than a preset judgment threshold value or not to obtain a judgment result;
and under the condition that the judgment result is that the clock information is greater than the judgment threshold value, the information is verified.
In a possible implementation manner, the performing information verification based on the comparison processing of the first text information and the entered second text information to obtain a verification result includes:
comparing the first text information with the second text information to obtain a comparison result;
and carrying out information verification according to the comparison result to obtain a verification result.
In a possible implementation manner, when the first text information includes the time information, the performing information verification based on the comparison processing between the first text information and the entered second text information to obtain a verification result includes:
acquiring time information included in the first text information;
obtaining error delay according to the acquisition time of the image frame and the time information;
and obtaining the checking result based on the error delay.
In a possible implementation manner, the verification result includes that time verification is successful, and after the verification result is obtained, the method further includes:
judging the reliability of the check result;
the reliability judgment of the inspection result comprises the following steps:
and judging the reliability of the verification result according to the percentage of successful time verification in the verification result.
In a possible implementation manner, in a case that the first text information includes location information and/or number information, the verification result includes successful location verification and/or successful number verification, and after the verification result is obtained, the method further includes:
judging the reliability of the check result;
the reliability judgment of the verification result comprises the following steps:
according to the ratio of successful position verification and/or the ratio of successful serial number verification in the verification result, reliability judgment is carried out on the verification result;
the verification result is from a comparison process for the location information and/or the number information.
According to an aspect of the present disclosure, there is provided an information verifying apparatus, the apparatus including:
the information acquisition unit is used for acquiring watermark information in the image frame;
the information extraction unit is used for extracting information based on the identification processing of the watermark information to obtain first text information;
and the information checking unit is used for carrying out information checking based on the comparison processing of the first text information and the second text information which is input, so as to obtain a checking result.
In a possible implementation manner, the type of the first text information includes: at least one information type of time information, position information and number information;
the types of the second text information include: at least one information type of time information, location information, and number information.
In a possible implementation manner, the information extraction unit is configured to:
identifying the text sequence in the watermark information to obtain an identification result;
and under the condition that the recognition result exceeds a recognition confidence threshold, extracting the recognition result and taking the recognition result as the first text information.
In a possible implementation manner, the information extraction unit is configured to:
identifying the text sequence in the watermark information according to a character identification network to obtain the identification result;
the character recognition network is obtained by taking a text sequence sample as training data to carry out neural network training.
In a possible implementation manner, the information obtaining unit is configured to:
under the condition that the current time accords with the preset effective running time, collecting the image frame;
and acquiring the watermark information in the image frame based on the characteristic information identification processing of the image frame.
In a possible implementation manner, the information obtaining unit is configured to:
collecting the image frames according to a preset time interval;
and acquiring the watermark information in the image frame based on the characteristic information identification processing of the image frame.
In a possible implementation manner, the apparatus further includes a clock information determining unit, configured to:
acquiring clock information related to the image frame acquisition;
judging whether the clock information is larger than a preset judgment threshold value or not to obtain a judgment result;
and if the judgment result is that the clock information is greater than the judgment threshold value, the information is verified.
In a possible implementation manner, the information checking unit is configured to:
comparing the first text information with the second text information to obtain a comparison result;
and carrying out information verification according to the comparison result to obtain a verification result.
In a possible implementation manner, the information checking unit is configured to:
acquiring time information included in the first text information;
obtaining error delay according to the acquisition time of the image frame and the time information;
and obtaining the checking result based on the error delay.
In a possible implementation manner, the apparatus further includes: a check reliability judgment unit configured to:
and in the process of judging the reliability of the verification result, judging the reliability of the verification result according to the successful time verification ratio in the verification result.
In a possible implementation manner, in the case that the first text information includes location information and/or number information, the verification result includes that location verification succeeds and/or number verification succeeds;
the device further comprises: a check reliability judgment unit configured to:
in the process of judging the reliability of the verification result, judging the reliability of the verification result according to the proportion of successful position verification and/or the proportion of successful number verification in the verification result;
the verification result is from a comparison process for the location information and/or the number information.
According to an aspect of the present disclosure, there is provided an electronic device including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to: the above-described information verification method is performed.
According to an aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described information verification method.
In the disclosed embodiment, watermark information in an image frame is acquired; extracting information based on the identification processing of the watermark information to obtain first text information; and carrying out information verification based on the comparison processing of the first text information and the second text information which is recorded to obtain a verification result. By adopting the method and the device, the information extraction is carried out on the watermark information in a recognition processing mode, the information verification is carried out on the first text information and the second text information which is recorded in a comparison processing mode, the manpower and material resources are saved compared with a manual operation and maintenance mode, and the extraction and verification are more accurate, so that the waste of a large amount of manpower and material resources is avoided, and the accuracy of the verification result is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure.
Fig. 1 shows a flow chart of an information verification method according to an embodiment of the present disclosure.
FIG. 2 illustrates a schematic diagram of an identification and verification scenario in accordance with an embodiment of the present disclosure.
Fig. 3 shows a block diagram of an information verification apparatus according to an embodiment of the present disclosure.
Fig. 4 illustrates a block diagram of an electronic device in accordance with an embodiment of the disclosure.
Fig. 5 shows a block diagram of an electronic device according to an embodiment of the disclosure.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, C, and may mean including any one or more elements selected from the group consisting of A, B and C.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
Fig. 1 shows a flowchart of an information verification method according to an embodiment of the present disclosure, which is applied to an information verification apparatus, for example, in a case where the apparatus is deployed in a terminal device or a server or other processing device for execution, image classification, image detection and video processing, Optical Character Recognition (OCR) Recognition, and the like may be performed. The terminal device may be a User Equipment (UE), a mobile device, a cellular phone, a cordless phone, a Personal Digital Assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, or the like. In some possible implementations, the processing method may be implemented by a processor calling computer readable instructions stored in a memory. As shown in fig. 1, the process includes:
and step S101, acquiring watermark information in the image frame.
For the watermark information, the collected image frame may include the watermark information marked by a security monitoring department (such as a public security department), and the watermark information may include: time, place and national standard number corresponding to the camera for collecting the image frame.
The national standard number is a unique identification granted by a public security department, for example, and the identification is set for convenience of monitoring and management.
The information which is manually input in the background of the security system by an administrator (including time, place, national standard number and the like) should be kept consistent with the watermark information in the acquired image frame theoretically, but an error exists between the two information actually, so that the information verification needs to be carried out on the watermark information in the acquired image frame and the input information.
In one example, acquiring watermark information in an image frame may include: under the condition that the current time accords with the preset effective running time, collecting the image frame; and acquiring the watermark information in the image frame based on the characteristic information identification processing of the image frame. Since the watermark information usually presents white or other light tones, if the image frame is collected in the daytime as the basis, the watermark information in the collected image frame is likely to be unclear, and is not particularly ideal for watermark information identification and subsequent information verification.
It should be noted that, because the dark time and the sunset time of each region are different, the setting of the preset effective operation time is different in each region, and therefore, the preset effective operation time corresponding to each region can be set according to the geographical location area of each region.
In another example, the acquiring watermark information in the image frame includes: acquiring the image frames according to a preset time interval; and acquiring the watermark information in the image frame based on the characteristic information identification processing of the image frame. Since the image frames are always acquired, too much load and resource occupation are brought to the background server or the front-end acquisition terminal of the security system, in this example, the image frames can be intermittently acquired according to the preset time interval, so as to avoid adverse effects (for example, reduction of processing efficiency of identification and information verification, etc.) on the processing performance of the background server or the front-end acquisition terminal. That is, the image frames are collected at a preset time interval, so that the processing efficiency of recognition and information verification can be improved.
And step S102, extracting information based on the identification processing of the watermark information to obtain first text information.
The identification processing of the watermark information can adopt a traditional OCR identification framework, and can also adopt an OCR identification framework based on deep learning.
A conventional OCR recognition framework may include: a preprocessing stage and an identification stage. The preprocessing stage may correct the watermark information, such as the watermark information is skewed, which is not beneficial to the processing in the identification stage. In the identification stage, the text sequence in the watermark information can be identified to obtain an identification result.
And the deep learning-based OCR recognition framework is different from the traditional OCR recognition framework in that: the text sequence sample can be used as training data, neural network training is carried out on the OCR-based character recognition network, network convergence is carried out after an expected recognition confidence threshold is obtained, and training is finished.
And after training, identifying the text sequence in the watermark information through a character identification network obtained after training to obtain an identification result. Inputting a text sequence in watermark information into the character recognition network, so as to obtain recognition probability obtained by recognizing a text sequence sample, and if the probability that the recognition probability is 'right' exceeds the recognition confidence threshold, considering that the output recognition result is correct, and extracting the recognition result to be used as the first text information; and if the probability that the recognition probability is 'wrong' is lower than the recognition confidence threshold, the output recognition result is considered to be wrong and cannot be used as the first text information.
That is, the recognition result exceeds the recognition confidence threshold of the OCR extraction, the recognition result is considered to be reliable, and the extracted first text information is obtained.
Step S103, information verification is carried out based on the comparison processing of the first text information and the second text information which is recorded, and a verification result is obtained.
In one example, the first text information is compared with the second text information to obtain a comparison result; and carrying out information verification according to the comparison result to obtain a verification result.
In one example, the type of the first text information includes: at least one information type of time information, location information, and number information. Correspondingly, the types of the second text information include: at least one information type of time information, location information, and number information.
By adopting the method and the device, the information extraction is carried out on the watermark information in a recognition processing mode (for example, the identification is carried out on a character recognition network obtained after training), the information verification is carried out on the first text information and the input second text information in a comparison processing mode, the manpower and material resources are saved compared with a manual operation and maintenance mode, the extraction and the verification are more accurate, the waste of a large amount of manpower and material resources is avoided, and the accuracy of the verification result is improved.
In a possible implementation manner, before performing information verification based on the comparison processing of the first text information and the entered second text information to obtain a verification result, the method further includes: acquiring clock information related to the image frame acquisition; judging whether the clock information is larger than a preset judgment threshold value or not to obtain a judgment result; and if the judgment result is that the clock information is greater than the judgment threshold value, the information is verified. For example, the clock information related to the image frame acquisition may be the running times of the clock information, and the running times of the clock information are set to: in order to improve the information verification accuracy, the image frames need to be acquired for multiple times to ensure that enough image frames are obtained, and then when the acquisition is finished, the information verification can be carried out, wherein a constraint condition is needed. The clock information operation count may be understood as an example of the constraint condition, and the clock information operation count may be compared with a set determination threshold to determine whether to start executing the information verification process.
It should be noted that, when the judgment result is that the clock information is greater than the judgment threshold, the acquisition processing of the image frame may also be ended, or the acquisition processing of the image frame may be continued while performing subsequent information verification, and the obtained information verification result and the acquisition result are continuously updated to update the information verification result, so as to improve the accuracy of information verification.
In this disclosure, the comparison process and the verification process may be performed for a case where the acquired first text information includes time information, or for position information and number information included in the first text information. Of course, the time information, the position information, and the number information included in the first text information may be used.
In a possible implementation manner, taking a case that the first text information includes time information as an example, performing information verification based on comparison processing between the first text information and the entered second text information to obtain a verification result, where the method includes: acquiring time information included in the first text information; obtaining error delay according to the acquisition time of the image frame and the time information in the first text information; the check result is obtained based on the error delay, for example, the check result may be obtained when the error delay is smaller than the error range threshold. And judging the reliability of the verification result, which comprises the following steps: and judging the reliability of the verification result according to the percentage of successful time verification in the verification result.
In one example, the number of the verification results is multiple, and which of the multiple verification results is reliable requires a reliability judgment on the obtained multiple verification results to screen out unreliable verification results. Because there may be a delay between the time of collecting the image frame and the time in the watermark, which results in the problem that the two are inconsistent in time, it is necessary to eliminate the influence of this delay and to perform clock information verification.
For example, in the clock information checking process, it can be determined whether the error delay is smaller than the allowed clock error range threshold, and if the error delay is smaller than the allowed clock error range threshold, it can be considered that "the delay effect is excluded", for the time information in the first text information, can be used as reliable data to carry out comparison processing according to the time information to obtain a verification result, then, it is determined whether the percentage of successful time verification (which is related to the allowed clock error range threshold) in the verification results is greater than a first percentage threshold, for example, 10 verification results are included in a group of verification results, wherein, 7 verification results are verification success, and the verification success accounts for more than 50% of the total 10 verification results, and the verification result formed by the 10 verification results as a group can be considered to be reliability. The check results that are considered "the check results are reliable" are marked with a "check comparison is reliable" and so on. Here, "50%" as the first percentage threshold may be set according to specific requirements in practical applications, the first percentage threshold is a percentage judgment basis for the verification result after the elimination of the delay to the total verification result, and the first percentage threshold may be set in advance, or may be updated according to the updated verification result.
In a possible implementation manner, when the first text information includes the location information and/or the number information, the verification result includes that the location verification is successful and/or the number verification is successful. After obtaining the verification result, the method further comprises: and judging the reliability of the checking result.
The reliability judgment of the verification result comprises the following steps: according to the ratio of successful position verification and/or the ratio of successful serial number verification in the verification result, reliability judgment is carried out on the verification result; the verification result is from a comparison process for the location information and/or the number information.
Due to surrounding environment or other interference factors, watermark information in an acquired image frame is unclear, for example, a spatial name and/or a national standard number are unclear, so that the problem that the watermark information in the image frame and a watermark actually marked by an original public security department are displayed on the spatial name/the national standard number in an inconsistent manner is caused.
For the position information and/or the number information in the first text information, it may be determined whether the percentage of successful position verification and/or the percentage of successful number verification (which is related to the recognition resolution of the position information and/or the number information) in the verification results is greater than a second percentage threshold, for example, 10 verification results are total in a group of verification results, where 7 verification results are successful and verification success accounts for more than 50% of total 10 verification results, and the verification result formed by the group of 10 verification results may be considered to be reliable. The check results that are considered "the check results are reliable" are marked with a "check comparison is reliable" and so on. Here, "50%" as the second percentage threshold may be set according to specific requirements in practical applications, the second percentage threshold is a percentage judgment basis for excluding the verification result after display inconsistency is caused by the definition from the total verification result, the second percentage threshold may be set in advance, or the second percentage threshold may be updated correspondingly according to the updated verification result.
Application example:
fig. 2 is a schematic diagram of an identification and verification scenario according to an embodiment of the disclosure, as shown in fig. 2, including the following:
step S201, judging whether to start the information checking function, if so, executing step S202, otherwise, ending the current information checking process.
Step S202, acquiring watermark information in the image frame according to the effective running time or the time interval.
Because the background of the scene monitoring video picture in daytime is complex and is close to the color of the watermark information, the probability of misjudgment is relatively high easily caused by adopting OCR recognition processing, and therefore, the effective running time is set to be the scene at night, such as at night, so that the misjudgment probability can be reduced, and the accuracy of OCR recognition processing is improved.
Because the magnitude of camera is great, if frequently gather, can lead to security protection system backstage server or the processing performance of front end acquisition terminal comparatively nervous, consequently, in order to rationally distribute the resource in order to avoid reducing processing performance, can set up this time interval.
And S203, recognizing the text sequence in the watermark information based on OCR to obtain a recognition result.
Step S204, judging whether the recognition result exceeds a recognition confidence threshold, if so, taking the recognition result as first text information so as to obtain a verification result by comparing the first text information with the input second text information, and executing step S205; otherwise, returning to step S203 and continuing to recognize the text sequence.
Step S205, whether the running times of the clock information is greater than a judgment threshold value or not, if so, executing step S206; otherwise, the process returns to step S202 and continues to acquire image frames.
And S206, performing information verification based on comparison processing of the first text information and the second text information which is recorded to obtain a verification result. Thereafter, step S207 to step S208 are performed, respectively.
Step S207, in the process of checking the clock information, it is determined whether the error delay is smaller than the allowed clock error range threshold, if so, whether the ratio of successful time checking is larger than the first ratio threshold, and if so, the checking result is reliable, and the checking result is output. The process proceeds to step S209.
Step S208, in the process of checking the space name/national standard number, judging whether the ratio of successful position checking and/or the ratio of successful number checking in the checking result is larger than a second ratio threshold, if so, the checking result is reliable, and outputting the checking result.
And step S209, displaying the verification result.
In summary, the image frames in the monitored image may be acquired by the camera, for example, a polling mechanism is used to acquire a key frame in the monitored image, the watermark information in the key frame is identified based on OCR, when the identification result exceeds the identification confidence threshold, extracting the identification result to be used as first text information (such as time information, place information, camera name, national standard number and the like), comparing the first text information with the second text information (such as time information, place information, camera name, national standard number and the like) which is recorded to obtain a verification result, the reliability of the check result is judged by checking the check result through clock information and space name/national standard number, therefore, a reliable verification result is obtained in various ways and is displayed to an administrator to perform monitoring operation. If the comparison fails, displaying an error prompt to the administrator, for example, an error prompt such as "100% matching cannot be performed, and an error exists in the type of the basic information of the corresponding camera".
It will be understood by those skilled in the art that in the method of the present invention, the order of writing the steps does not imply a strict order of execution and any limitations on the implementation, and the specific order of execution of the steps should be determined by their function and possible inherent logic.
The above-mentioned method embodiments can be combined with each other to form a combined embodiment without departing from the principle logic, which is limited by the space and will not be repeated in this disclosure.
In addition, the present disclosure also provides an information verification apparatus, an electronic device, a computer-readable storage medium, and a program, which can be used to implement any one of the information verification methods provided by the present disclosure, and the corresponding technical solutions and descriptions and corresponding descriptions in the methods section are not repeated.
Fig. 3 shows a block diagram of an information verifying apparatus according to an embodiment of the present disclosure, and as shown in fig. 3, the processing apparatus includes: an information acquisition unit 31 for acquiring watermark information in an image frame; an information extraction unit 32, configured to perform information extraction based on the identification processing of the watermark information, to obtain first text information; and the information checking unit 33 is configured to perform information checking based on comparison processing between the first text information and the entered second text information, so as to obtain a checking result.
In a possible implementation manner, the type of the first text information includes: at least one information type of time information, position information and number information; the types of the second text information include: at least one information type of time information, location information, and number information.
In a possible implementation manner, the information extraction unit is configured to: identifying the text sequence in the watermark information to obtain an identification result; and under the condition that the recognition result exceeds a recognition confidence threshold, extracting the recognition result and taking the recognition result as the first text information.
In a possible implementation manner, the information extraction unit is configured to: identifying the text sequence in the watermark information according to a character identification network to obtain the identification result; the character recognition network is obtained by taking a text sequence sample as training data to carry out neural network training.
In a possible implementation manner, the information obtaining unit is configured to: under the condition that the current time accords with the preset effective running time, collecting the image frame; and acquiring the watermark information in the image frame based on the characteristic information identification processing of the image frame.
In a possible implementation manner, the information obtaining unit is configured to: acquiring the image frames according to a preset time interval; and acquiring the watermark information in the image frame based on the characteristic information identification processing of the image frame.
In a possible implementation manner, the apparatus further includes a clock information determining unit, configured to: acquiring clock information related to the image frame acquisition; judging whether the clock information is larger than a preset judgment threshold value or not to obtain a judgment result; and if the judgment result is that the clock information is greater than the judgment threshold value, the information is verified.
In a possible implementation manner, the information checking unit is configured to: comparing the first text information with the second text information to obtain a comparison result; and carrying out information verification according to the comparison result to obtain a verification result.
In a possible implementation manner, the information checking unit is configured to: acquiring time information included in the first text information; obtaining error delay according to the acquisition time of the image frame and the time information; and obtaining the checking result based on the error delay.
In a possible implementation manner, the apparatus further includes: a check reliability judgment unit configured to: and in the process of judging the reliability of the verification result, judging the reliability of the verification result according to the successful time verification ratio in the verification result.
In a possible implementation manner, in a case that the first text information includes location information and/or number information, the verification result includes a location verification success and/or a number verification success. The device further comprises: a check reliability judgment unit configured to: in the process of judging the reliability of the verification result, judging the reliability of the verification result according to the successful proportion of the position verification and/or the successful proportion of the serial number verification in the verification result; the verification result is from a comparison process for the location information and/or the number information.
In some embodiments, functions of or modules included in the apparatus provided in the embodiments of the present disclosure may be used to execute the method described in the above method embodiments, and specific implementation thereof may refer to the description of the above method embodiments, and for brevity, will not be described again here.
Embodiments of the present disclosure also provide a computer-readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the above-mentioned method. The computer readable storage medium may be a volatile computer readable storage medium or a non-volatile computer readable storage medium.
The disclosed embodiments also provide a computer program product, which includes a computer readable code, and when the computer readable code runs on a device, a processor in the device executes instructions for implementing the information verification method provided in any one of the above embodiments.
The embodiments of the present disclosure also provide another computer program product for storing computer readable instructions, which when executed cause a computer to perform the operations of the information verification method provided in any of the above embodiments.
The computer program product may be embodied in hardware, software or a combination thereof. In an alternative embodiment, the computer program product is embodied in a computer storage medium, and in another alternative embodiment, the computer program product is embodied in a Software product, such as a Software Development Kit (SDK), or the like.
An embodiment of the present disclosure further provides an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured as the above method.
The electronic device may be provided as a terminal, server, or other form of device.
Fig. 4 is a block diagram illustrating an electronic device 800 in accordance with an example embodiment. For example, the electronic device 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like terminal.
Referring to fig. 4, electronic device 800 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816.
The processing component 802 generally controls overall operation of the electronic device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operations at the electronic device 800. Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power supply component 806 provides power to the various components of the electronic device 800. The power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 800.
The multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the electronic device 800 is in an operation mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.
The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the electronic device 800. For example, the sensor assembly 814 may detect an open/closed state of the electronic device 800, the relative positioning of components, such as a display and keypad of the electronic device 800, the sensor assembly 814 may also detect a change in the position of the electronic device 800 or a component of the electronic device 800, the presence or absence of user contact with the electronic device 800, orientation or acceleration/deceleration of the electronic device 800, and a change in the temperature of the electronic device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the electronic device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium, such as the memory 804, is also provided that includes computer program instructions executable by the processor 820 of the electronic device 800 to perform the above-described methods.
Fig. 5 is a block diagram illustrating an electronic device 900 in accordance with an example embodiment. For example, the electronic device 900 may be provided as a server. Referring to fig. 5, electronic device 900 includes a processing component 922, which further includes one or more processors, and memory resources, represented by memory 932, for storing instructions, such as applications, that are executable by processing component 922. The application programs stored in memory 932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 922 is configured to execute instructions to perform the above-described methods.
The electronic device 900 may also include a power component 926 configured to perform power management of the electronic device 900, a wired or wireless network interface 950 configured to connect the electronic device 900 to a network, and an input/output (I/O) interface 958. The electronic device 900 may operate based on an operating system stored in the memory 932, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 932, is also provided that includes computer program instructions executable by the processing component 922 of the electronic device 900 to perform the above-described method.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Different embodiments of the present application may be combined with each other without departing from the logic, and the descriptions of the different embodiments are focused on, and for the parts focused on the descriptions of the different embodiments, reference may be made to the descriptions of the other embodiments.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, but is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (20)
1. An information verification method, comprising:
acquiring watermark information in an image frame;
extracting information based on the identification processing of the watermark information to obtain first text information;
performing information verification based on comparison processing of the first text information and the second text information which is input to obtain a verification result;
wherein, under the condition that the first text information includes time information, the information verification is performed based on the comparison processing of the first text information and the second text information which is recorded, and a verification result is obtained, including:
acquiring time information included in the first text information;
obtaining error delay according to the acquisition time of the image frame and the time information;
obtaining the checking result based on the error delay;
the verification result comprises time verification success, and after the verification result is obtained, the method further comprises:
judging the reliability of the check result;
the reliability judgment of the verification result includes:
and judging the reliability of the verification result according to the percentage of successful time verification in the verification result.
2. The method of claim 1, wherein the type of the first text information comprises: at least one information type of time information, position information and number information;
the types of the second text information include: at least one information type of time information, location information, and number information.
3. The method according to claim 1 or 2, wherein the extracting information based on the identification process of the watermark information to obtain first text information comprises:
identifying the text sequence in the watermark information to obtain an identification result;
and under the condition that the recognition result exceeds a recognition confidence coefficient threshold value, extracting the recognition result and using the recognition result as the first text information.
4. The method of claim 3, wherein the identifying the text sequence in the watermark information to obtain an identification result comprises:
identifying the text sequence in the watermark information according to a character identification network to obtain the identification result;
the character recognition network is obtained by taking a text sequence sample as training data to carry out neural network training.
5. The method of claim 1 or 2, wherein the obtaining watermark information in the image frame comprises:
collecting the image frame under the condition that the current time accords with the preset effective running time;
and acquiring the watermark information in the image frame based on the characteristic information identification processing of the image frame.
6. The method of claim 1 or 2, wherein the obtaining watermark information in the image frame comprises:
acquiring the image frames according to a preset time interval;
and acquiring the watermark information in the image frame based on the characteristic information identification processing of the image frame.
7. The method according to claim 5, wherein before performing information verification based on the comparison processing of the first text information and the entered second text information, the method further comprises:
acquiring clock information related to the image frame acquisition;
judging whether the clock information is larger than a preset judgment threshold value or not to obtain a judgment result;
and under the condition that the judgment result is that the clock information is greater than the judgment threshold value, the information is verified.
8. The method according to claim 1 or 2, wherein the information verification based on the comparison processing of the first text information and the entered second text information obtains a verification result, and the verification result comprises:
comparing the first text information with the second text information to obtain a comparison result;
and carrying out information verification according to the comparison result to obtain a verification result.
9. The method according to claim 8, wherein in a case that the first text information includes location information and/or number information, the verification result includes location verification success and/or number verification success, and after obtaining the verification result, the method further includes:
judging the reliability of the check result;
the reliability judgment of the verification result comprises the following steps:
according to the ratio of successful position verification and/or the ratio of successful serial number verification in the verification result, reliability judgment is carried out on the verification result;
the verification result is from a comparison process for the location information and/or the number information.
10. An information verifying apparatus, comprising:
the information acquisition unit is used for acquiring watermark information in the image frame;
the information extraction unit is used for extracting information based on the identification processing of the watermark information to obtain first text information;
the information verification unit is used for performing information verification based on comparison processing of the first text information and the second text information which is input to obtain a verification result;
wherein the information checking unit is configured to:
acquiring time information included in the first text information;
obtaining error delay according to the acquisition time of the image frame and the time information;
obtaining the checking result based on the error delay;
the verification result comprises time verification success, and the device further comprises: a check reliability judgment unit configured to:
after the verification result is obtained, reliability judgment is carried out on the verification result;
and in the process of judging the reliability of the verification result, judging the reliability of the verification result according to the successful time verification ratio in the verification result.
11. The apparatus of claim 10, wherein the type of the first text information comprises: at least one information type of time information, position information and number information;
the types of the second text information include: at least one information type of time information, location information, and number information.
12. The apparatus according to claim 10 or 11, wherein the information extraction unit is configured to:
identifying the text sequence in the watermark information to obtain an identification result;
and under the condition that the recognition result exceeds a recognition confidence threshold, extracting the recognition result and taking the recognition result as the first text information.
13. The apparatus of claim 12, wherein the information extraction unit is configured to:
identifying the text sequence in the watermark information according to a character identification network to obtain the identification result;
the character recognition network is obtained by taking a text sequence sample as training data to carry out neural network training.
14. The apparatus according to claim 10 or 11, wherein the information obtaining unit is configured to:
under the condition that the current time accords with the preset effective running time, collecting the image frame;
and acquiring the watermark information in the image frame based on the characteristic information identification processing of the image frame.
15. The apparatus according to claim 10 or 11, wherein the information obtaining unit is configured to:
acquiring the image frames according to a preset time interval;
and acquiring the watermark information in the image frame based on the characteristic information identification processing of the image frame.
16. The apparatus according to claim 14, further comprising a clock information judging unit configured to:
acquiring clock information related to the image frame acquisition;
judging whether the clock information is larger than a preset judgment threshold value or not to obtain a judgment result;
and if the judgment result is that the clock information is greater than the judgment threshold value, the information is verified.
17. The apparatus according to claim 10 or 11, wherein the information checking unit is configured to:
comparing the first text information with the second text information to obtain a comparison result;
and carrying out information verification according to the comparison result to obtain a verification result.
18. The apparatus according to claim 17, wherein in a case where the position information and/or the number information is included in the first text information, the verification result includes a position verification success and/or a number verification success;
the device further comprises: a check reliability judgment unit configured to:
in the process of judging the reliability of the verification result, judging the reliability of the verification result according to the successful proportion of the position verification and/or the successful proportion of the serial number verification in the verification result;
the verification result is from a comparison process for the location information and/or the number information.
19. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to: performing the method of any one of claim 1 to claim 9.
20. A computer readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1 to 9.
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| CN112115836A (en) * | 2020-09-11 | 2020-12-22 | 北京金堤科技有限公司 | Information verification method and device, computer readable storage medium and electronic equipment |
| CN113111734B (en) * | 2021-03-24 | 2022-05-17 | 支付宝(杭州)信息技术有限公司 | Watermark classification model training method and device |
| CN115994552B (en) * | 2023-03-22 | 2023-07-25 | 宁德时代新能源科技股份有限公司 | Verification method and device based on graphic code, electronic equipment and storage medium |
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