Identity recognition method based on fusion of face characteristic and palm print characteristic

A face feature and identity recognition technology, which is applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of difficult collection of palm prints, difficulty in distinguishing the identity of the corresponding person, openness of features, lack of sociality, etc. question

Active Publication Date: 2015-06-03
HEFEI UNIV OF TECH
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Problems solved by technology

However, the recognition accuracy of single-modal face recognition technology is not high enough in the case of insufficient illumination and face modification, and it is difficult to meet the accuracy requirements of the application.
At present, single-modal palmprin

Method used

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  • Identity recognition method based on fusion of face characteristic and palm print characteristic
  • Identity recognition method based on fusion of face characteristic and palm print characteristic
  • Identity recognition method based on fusion of face characteristic and palm print characteristic

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Embodiment Construction

[0055] In this embodiment, aiming at non-contact identification, an identification method based on the multi-modal feature fusion of face and palmprint based on a single image is proposed. The image is compared with the feature distance, and the identity information of the person corresponding to the training image with the smallest feature distance to the detection image E is returned, specifically as follows:

[0056] Step 1. Assume that there is an image database C={c consisting of N training images 1 ,c 2 ,...,c n ,...,c N},c n Indicates the nth training image; 1≤n≤N; in this embodiment, by recruiting 100 volunteers, each volunteer collects 5 training images, a total of 500 training images to form an image database C; the nth training image c n Include non-overlapping face images f of the same person n and the palm image p n ;

[0057] Step 2. For the nth training image c n The face image in f n Use Haar features and Adaboost classifier for detection and segmenta...

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Abstract

The invention discloses an identity recognition method based on multi-mode fusion of face characteristics and palm print characteristics of a single image. The identity recognition method is characterized by comprising the following steps: 1, acquiring the face and the palm print of one same person in one image, and establishing a database; 2, respectively detecting and partitioning face areas and palm print areas of the image, thereby obtaining ROI areas; 3, respectively calculating and authenticating chi-square distance of face characteristics and palm print characteristics of an authenticated image and each image in the database according to a face recognition algorithm and a palm print recognition algorithm; 4, fusing two characteristic distances according to a multi-mode characteristic fusion algorithm, thereby achieving identity recognition of persons. As the face characteristics and the palm print characteristics are fused, the accuracy rate of identity recognition is increased.

Description

technical field [0001] The invention belongs to the field of biological feature recognition in pattern recognition, and mainly relates to an identity recognition method based on fusion of face features and palmprint features of a single image. Background technique [0002] Biometric recognition technology is a technology that uses the inherent physical or behavioral characteristics of the human body to identify personal identities through image processing and pattern recognition. The biological characteristics used for biometric identification must meet the following four conditions: universality, that is, everyone has this characteristic; Not the same; measurability, that is, the feature can be specifically measured under certain technical conditions; stability, that is, the feature can remain unchanged for at least a period of time. At the same time, the actual biometric identification system generally needs to have a higher discrimination ability, that is, it can achieve...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/66
Inventor 薛峰董浩贾伟顾靖罗月童雍城西
Owner HEFEI UNIV OF TECH
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