CN108154131B - Multiple checking system and method for identification card face identification comparison - Google Patents
Multiple checking system and method for identification card face identification comparison Download PDFInfo
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- CN108154131B CN108154131B CN201810000740.3A CN201810000740A CN108154131B CN 108154131 B CN108154131 B CN 108154131B CN 201810000740 A CN201810000740 A CN 201810000740A CN 108154131 B CN108154131 B CN 108154131B
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- 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
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- 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
- G06V40/178—Human faces, e.g. facial parts, sketches or expressions estimating age from face image; using age information for improving recognition
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Abstract
The invention discloses a multiple checking system and a method for identification comparison of an identity card face, wherein the system comprises the following steps: an image acquisition module, wherein the image acquisition module is connected with a resolution judgment module and a human face organ calibration module, the resolution judgment module is connected with a resolution adjustment module and a human face organ calibration module, the resolution adjustment module is connected with a human face organ calibration module, the human face organ calibration module is connected with a feature calculation module, the feature calculation module is connected with a feature growth calculation module and a multiple comparison module, the feature growth calculation module is connected with an information setting module and a multiple comparison module, the information of a plurality of photos of different ages is calculated by carrying out growth calculation on the information characteristics of the identity card photos, the information of the plurality of photos of different ages is compared with the current photo information of the licensee, therefore, whether the information of the identity card photo is consistent with the information of the current photo of the certificate holder or not is judged, and the purpose of effectively verifying whether the certificate holder is consistent with the identity card photo or not is achieved.
Description
Technical Field
The invention relates to the technical field of person-certificate integrated verification, in particular to a multiple verification system and a multiple verification method for identification card face identification comparison.
Background
The valid period of the second-generation ID card is generally ten years, twenty years or even longer, but with the change of people's age, the appearance of people also changes, resulting in the discrepancy between the current appearance and the certificate photo, which brings a lot of unnecessary troubles to people, especially for the personnel working at other places, if the personnel are in an urgent need to return to the home, the duplication of ID card at the place of the home is not enough, which is very inconvenient.
Disclosure of Invention
In order to solve the technical problem, the invention provides a multiple verification system and a multiple verification method for identification and comparison of an identity card face, so as to achieve the purpose of effectively verifying whether a certificate holder is consistent with an identity card picture.
In order to achieve the purpose, the technical scheme of the invention is as follows: a multiple verification system for identification card face identification comparison, the system comprises: the system comprises an image acquisition module, a resolution judgment module and a face organ calibration module, wherein the resolution judgment module is connected with a resolution adjustment module and a face organ calibration module, the resolution adjustment module is connected with a face organ calibration module, the face organ calibration module is connected with a feature calculation module, the feature calculation module is connected with a feature growth calculation module and a multiple comparison module, the feature growth calculation module is connected with an information setting module and a multiple comparison module, and the image acquisition module is used for acquiring identity card photo information and current photo information of a licensee; the resolution judging module is used for judging whether the acquired identification card photo information meets the feature extraction requirement or not; the resolution adjusting module is used for adjusting the resolution of the identity card photo information; the human face organ calibration module is used for calibrating the characteristic information and the position information of the human face organ of the identity card photo information and the current photo information of the licensee; the characteristic calculation module is used for calculating characteristic information and position information of the calibrated human face organ; the information setting module is used for setting data required by growth calculation; the characteristic growth calculation module is used for carrying out growth calculation on the identity card photo information according to the data set by the information setting module on the basis of the identity card photo information calculated by the characteristic calculation module; and the multiple comparison module is used for comparing the calculated identity card photo information with the current photo information of the licensee for many times.
Furthermore, the resolution judgment module analyzes the acquired resolution of the identity card photo and judges whether the resolution meets the requirement of feature extraction, if so, the identity card photo information is sent to the human face organ calibration module, and if not, the identity card photo information is sent to the resolution adjustment module to adjust the resolution of the identity card photo information.
Further, the resolution adjustment module sharpens the resolution of the identification card photo information sent by the resolution judgment module, adjusts the resolution after sharpening, and sends the adjusted identification card photo information to the face organ calibration module.
Further, the information setting module is used for setting the shooting year of the identity card photo, the current year and the age of the licensee.
Further, the feature growth calculation module performs growth calculation on the identity card photo information according to growth gradients of different age groups.
Further, the multiple comparison module compares the photo information of the ages calculated by the feature growth calculation module with the photo information of the licensee for multiple times to confirm whether the identity card photo information is consistent with the photo information of the licensee.
A multiple calibration method for identification and comparison of an identity card face is characterized in that an operator collects an identity card photo of a licensee and a current photo of the licensee; the system automatically judges whether the resolution of the identity card photo information meets the requirement of feature extraction, if the resolution meets the requirement, the face organ calibration is directly carried out on the identity card photo information, otherwise, the face organ calibration is carried out on the identity card photo information after the identity card photo information is sharpened and the resolution is processed; the system carries out feature calculation on the calibrated identity card photo information, and simultaneously carries out face organ calibration and feature calculation on the collected current photo of the certificate holder; the system performs characteristic growth calculation on the identity card photo information after the characteristic calculation according to the data and the characteristic growth rule set by the information setting module to obtain a plurality of pieces of photo information of different ages; the system compares a plurality of photos of different ages with the current photo information of the certificate holder after calculation one by one, and judges whether the identity card photo information is consistent with the current photo information of the certificate holder.
Further, the feature growth calculation method is that the current year subtracts the photographing year of the identification card photo to obtain a difference value, the current age of the identity card of the licensee is used for subtracting the difference value to obtain the age of the identity card of the licensee when photographing, and the age of the identity card of the licensee when photographing is judged in which age bracket, so that the number of photos with different ages is determined.
The invention has the following advantages:
(1) the resolution adjustment module is used for adjusting the resolution of the information of the identity card photo, so that the definition of the information of the identity card photo is improved, the later-stage feature calculation is more accurate, and the accuracy of photo comparison is improved.
(2) The method calculates the photo information of a plurality of different ages by calculating the growth characteristic of the identity card photo information, compares the photo information of the plurality of different ages with the current photo information of the certificate holder, thereby judging whether the identity card photo information is consistent with the current photo information of the certificate holder, accurately confirming whether the certificate holder is consistent with the identity card, and solving a plurality of unnecessary troubles.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
FIG. 1 is a schematic diagram of a multi-verification system module for identification and comparison of an identity card face according to an embodiment of the present invention;
FIG. 2 is a flowchart of a multiple verification method for identification and comparison of an ID card face according to an embodiment of the present invention;
the corresponding part names indicated by the numbers and letters in the drawings:
101. an image acquisition module; 102. a resolution judging module; 103. a resolution adjustment module; 104. a human face organ calibration module; 105. a feature calculation module; 106. a feature growth calculation module; 107. an information setting module; 108. and a multiple comparison module.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
The invention provides a multiple checking system and a multiple checking method for identification and comparison of an identity card face, which have the working principle that the growth calculation is carried out on the information characteristics of an identity card photo, a plurality of pieces of photo information of different ages are calculated, and the plurality of pieces of photo information of different ages are compared with the current photo information of a card holder, so that whether the identity card photo information is consistent with the current photo information of the card holder is judged, and the aim of effectively verifying whether the identity card holder is consistent with the identity card photo is fulfilled.
The present invention will be described in further detail with reference to examples and specific embodiments.
Scientific data prove that the ages of 0-7 years, 14-20 years and 50-75 years of human beings with larger change of appearance are generally not accompanied by identity cards, so that the children aged 0-7 years are taken as a first stage before the age of 20, the children aged 20-50 years are taken as a second stage, and the children aged 50 years are taken as a third stage, the change of appearance in the first stage and the third stage is obvious, so that the interval of characteristic growth calculation set by the system is one year, namely how many identity card photos are generated by calculating the interval of years, and the interval of characteristic growth calculation set by the system is five years, namely dividing the interval of five by the number of intervals by the number of years to obtain the number of identity card photos.
As shown in fig. 1 and fig. 2, a multiple verification system for identification card face recognition comparison includes: the system comprises an image acquisition module 101, wherein the image acquisition module 101 is connected with a resolution judgment module 102 and a human face organ calibration module 104, the resolution judgment module 102 is connected with a resolution adjustment module 103 and a human face organ calibration module 104, the resolution adjustment module 103 is connected with a human face organ calibration module 104, the human face organ calibration module 104 is connected with a feature calculation module 105, the feature calculation module 105 is connected with a feature growth calculation module 106 and a multiple comparison module 108, the feature growth calculation module 106 is connected with an information setting module 107 and the multiple comparison module 108, and the image acquisition module 101 is used for acquiring identity card photo information and current photo information of a licensee; the resolution judging module 102 is configured to judge whether the acquired identification card photo information meets a feature extraction requirement; the resolution adjusting module 103 is configured to adjust the resolution of the identity card photo information; the face organ calibration module 104 is configured to calibrate feature information and position information of a face organ of the identity card photo information and the current photo information of the licensee; the feature calculation module 105 is configured to calculate feature information and position information of the calibrated face organ; the information setting module 107 is configured to set data required for growth calculation; the feature growth calculation module 106 is configured to perform growth calculation on the identity card photo information according to the data set by the information setting module 107 based on the identity card photo information calculated by the feature calculation module 105; the multiple comparison module 108 is configured to compare the calculated identification card photo information with the current photo information of the credential holder for multiple times.
The resolution determination module 102 analyzes the acquired resolution of the identification card photo, determines whether the resolution meets the feature extraction requirement, sends the identification card photo information to the face organ calibration module 104 if the resolution meets the feature extraction requirement, and sends the identification card photo information to the resolution adjustment module 103 to adjust the resolution of the identification card photo information if the resolution does not meet the feature extraction requirement.
The resolution adjustment module 103 sharpens the resolution of the identification card photo information sent by the resolution determination module 102, adjusts the resolution after sharpening, and sends the adjusted identification card photo information to the face organ calibration module 104.
The information setting module 107 sets the shooting year of the identification card photo, the current year and the age of the licensee.
The feature growth calculation module 106 performs growth calculation on the identity card photo information according to growth gradients of different age groups.
The multiple comparison module 108 compares the photo information of multiple ages calculated by the feature growth calculation module 106 with the photo information of the witness for multiple times, and determines whether the identity card photo information is consistent with the photo information of the witness.
A multiple calibration method for identification and comparison of an identity card face is characterized in that an operator collects an identity card photo of a licensee and a current photo of the licensee; the system automatically judges whether the resolution of the identity card photo information meets the requirement of feature extraction, if the resolution meets the requirement, the face organ calibration is directly carried out on the identity card photo information, otherwise, the face organ calibration is carried out on the identity card photo information after the identity card photo information is sharpened and the resolution is processed; the system carries out feature calculation on the calibrated identity card photo information, and simultaneously carries out face organ calibration and feature calculation on the collected current photo of the certificate holder; the system performs feature growth calculation on the identity card photo information after feature calculation according to the data and the feature growth rule set by the information setting module 107 to obtain a plurality of pieces of photo information of different ages; the system compares a plurality of photos of different ages with the current photo information of the certificate holder after calculation one by one, and judges whether the identity card photo information is consistent with the current photo information of the certificate holder.
The feature growth calculation method comprises the steps of obtaining a difference value by subtracting the photographing year of the identity card photo from the current year, obtaining the age of the identity card of the identity card of.
For example: the time of taking a picture of the identity card is 2002, the current time is 2017, the calculated difference is 15 years, if the current age of the bearer is 32 years, the age of the bearer is 17 years when the identity card is taken, the system generates three identity card photos between 17 years and 20 years by using a characteristic growth rule, the three identity card photos are respectively 18 years, 19 years and 20 years of the bearer, three identity card photos are generated between 20 years and 32 years of the bearer, the three identity card photos are respectively 25 years, 30 years and 32 years of the bearer, and the six photos are compared with the current photo of the bearer for 6 times to ensure the comparison accuracy.
The above description is only a preferred embodiment of the multiple verification system and method for identification card face recognition comparison disclosed in the present invention, and it should be noted that, for those skilled in the art, many variations and modifications can be made without departing from the inventive concept, and these modifications and improvements are within the scope of the present invention.
Claims (8)
1. A multiple verification system for identification card face identification comparison is characterized in that the system comprises: the system comprises an image acquisition module, a resolution judgment module and a face organ calibration module, wherein the resolution judgment module is connected with a resolution adjustment module and a face organ calibration module, the resolution adjustment module is connected with a face organ calibration module, the face organ calibration module is connected with a feature calculation module, the feature calculation module is connected with a feature growth calculation module and a multiple comparison module, the feature growth calculation module is connected with an information setting module and a multiple comparison module, and the image acquisition module is used for acquiring identity card photo information and current photo information of a licensee; the resolution judging module is used for judging whether the acquired identification card photo information meets the feature extraction requirement or not; the resolution adjusting module is used for adjusting the resolution of the identity card photo information; the human face organ calibration module is used for calibrating the characteristic information and the position information of the human face organ of the identity card photo information and the current photo information of the licensee; the characteristic calculation module is used for calculating characteristic information and position information of the calibrated human face organ; the information setting module is used for setting data required by growth calculation, the specific setting mode is that the data are divided into three stages of young, adult and old age according to the age, the interval of characteristic growth calculation set by a system in the young and old age stages is one year, the interval of characteristic growth calculation set by a system in the second stage is five years, and the number of the identity card photos is obtained; the characteristic growth calculation module is used for carrying out growth calculation on the identity card photo information according to the data set by the information setting module on the basis of the identity card photo information calculated by the characteristic calculation module, and calculating a plurality of pieces of photo information of different ages; and the multiple comparison module is used for comparing the calculated identity card photo information with the current photo information of the licensee for many times.
2. The multiple verification system for identification card face identification comparison as claimed in claim 1, wherein the resolution determination module analyzes the resolution of the acquired identification card photo, and determines whether the resolution meets the feature extraction requirement, if yes, the identification card photo information is sent to the face organ calibration module, and if not, the identification card photo information is sent to the resolution adjustment module to adjust the resolution of the identification card photo information.
3. The system of claim 1, wherein the resolution adjustment module sharpens the resolution of the identification card image information sent from the resolution determination module, adjusts the resolution after sharpening, and sends the adjusted identification card image information to the face organ calibration module.
4. The system of claim 1, wherein the information setting module is configured to set a year of taking the ID card, a current year of taking the ID card, and an age of the bearer.
5. The system of claim 1, wherein the feature growth calculation module performs growth calculation on the identification card photo information according to growth gradients of different age groups.
6. The system of claim 1, wherein the multiple comparison module compares the photo information of multiple ages calculated by the feature development calculation module with the photo information of the licensee for multiple times to determine whether the identity card photo information matches the photo information of the licensee.
7. A multiple verification method for identification and comparison of an identity card face is characterized in that an operator collects an identity card photo of a licensee and a current photo of the licensee; the system automatically judges whether the resolution of the identity card photo information meets the requirement of feature extraction, if the resolution meets the requirement, the face organ calibration is directly carried out on the identity card photo information, otherwise, the face organ calibration is carried out on the identity card photo information after the identity card photo information is sharpened and the resolution is processed; the system carries out feature calculation on the calibrated identity card photo information, and simultaneously carries out face organ calibration and feature calculation on the collected current photo of the certificate holder; the system performs characteristic growth calculation on the identity card photo information after the characteristic calculation according to the data and the characteristic growth rule set by the information setting module to obtain a plurality of pieces of photo information of different ages; the system compares a plurality of photos of different ages with the current photo information of the computed certificate holder one by one, and judges whether the identity card photo information is consistent with the current photo information of the certificate holder, wherein the information setting module is specifically set in a mode of being divided into three stages of young, adult and old according to the age of the certificate holder, the interval of characteristic growth computation set by the system in the young and old stages is one year, the interval of characteristic growth computation set by the system in the second stage is five years, and the number of the identity card photos is obtained.
8. The system of claim 7, wherein the feature growth calculation is performed by subtracting the year of the identification card from the current year to obtain a difference, subtracting the difference from the current age of the identity card to obtain the age of the identity card of the person of the identity card of the person of the identity card of the person of the identity card of the person of the identity card of the person of the multiple verification system of the person.
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| CN109147174A (en) * | 2018-09-05 | 2019-01-04 | 深圳正品创想科技有限公司 | A kind of self-service method, server and self-service cabinet |
| CN114299635A (en) * | 2020-09-21 | 2022-04-08 | 浙江威欧希科技股份有限公司 | Public rental house intelligent lock information state transmission method |
| CN114333037B (en) * | 2022-02-25 | 2022-05-13 | 北京结慧科技有限公司 | Identification method and system for copied photo containing identity card |
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| CN105956578A (en) * | 2016-05-23 | 2016-09-21 | 深圳华中科技大学研究院 | Face verification method based on identity document information |
| CN106650653A (en) * | 2016-12-14 | 2017-05-10 | 广东顺德中山大学卡内基梅隆大学国际联合研究院 | Method for building deep learning based face recognition and age synthesis joint model |
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| JP6483485B2 (en) * | 2015-03-13 | 2019-03-13 | 株式会社東芝 | Person authentication method |
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| CN105138980A (en) * | 2015-08-20 | 2015-12-09 | 深圳云天励飞技术有限公司 | Identify authentication method and system based on identity card information and face identification |
| CN105956578A (en) * | 2016-05-23 | 2016-09-21 | 深圳华中科技大学研究院 | Face verification method based on identity document information |
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