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ID card comparison system and method based on deep learning face recognition

A technology of face recognition and deep learning, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of low recognition accuracy and low recognition efficiency

Inactive Publication Date: 2018-11-20
中科博宏(北京)科技有限公司
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  • Summary
  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

The information on the ID card includes ID photo, gender, age and other information. This verification method not only has low recognition accuracy, but also has low recognition efficiency.

Method used

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  • ID card comparison system and method based on deep learning face recognition
  • ID card comparison system and method based on deep learning face recognition

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Embodiment Construction

[0029] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0030] Such as figure 1 As shown, the deep learning-based witness comparison system of the present invention includes: an ID card information reading module, an image acquisition module, a feature extraction module, a feature value comparison module, and a verification result display module. The ID card information reading module includes a card reader module and an information reading module. The completed work is to read the information in the ID card through the card reader module and process it. The ID card information includes a photo and name, gender, date of birth, etc. The image acquisition module includes a camera module and an analysis module, wherein the camera module is responsible for capturing on-site images of the witnesses, and the image analysis module is responsible for processing the captured images i...

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Abstract

The invention relates to the technical fields of computer vision, mode recognition, biometric identification and the like and particularly relates to a system and method for second-generation ID cardand people verification based on deep learning. The system includes an ID card information reading module, an image acquisition module, a feature value extraction module, a feature value comparison module, and a result display module. The system reads ID card information through the ID card information reading module, collects a scene image through the image acquisition module, extracts feature values of the ID card information and the scene image through the feature value extraction module and compares the similarity of the image feature value, and thus judges the consistency of people and IDcard in a field. A face recognition algorithm based on deep learning is adopted, and the precision and reliability are high.

Description

technical field [0001] The invention relates to technical fields such as computer vision, pattern recognition, and biological feature recognition, and in particular to a system and method for comparing second-generation ID cards with witnesses based on deep learning. Background technique [0002] With the development of modern society, the whole society has higher and higher requirements for information security. ID cards, as proof of citizenship, play an important role in life. [0003] Nowadays, it happens from time to time to use other people's ID cards. How to quickly and accurately confirm personal ID cards through personal ID cards is an urgent problem to be solved in the current society. In various places that need to verify the consistency of certification, the ID card is generally checked in the database of the public security Internet, and then through the observation of the security inspectors, it is simply judged whether the gender of the certificate holder is c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/166G06V40/171G06V40/179G06V40/172G06V10/464G06V10/56G06F18/22
Inventor 陆成学
Owner 中科博宏(北京)科技有限公司
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