Image cross reconstruction-based single-sample registered image face recognition method

A face recognition and single-sample technology, applied in the field of identity recognition, can solve the problems of increased algorithm complexity, long recognition time, and poor recognition effect, and achieve the effect of simple acquisition, simple algorithm, and small storage space

Inactive Publication Date: 2010-06-16
SHENYANG POLYTECHNIC UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0020] But only using a certain type of method alone, the recognition effect is not very good, so most researchers use the above two or three types of methods to comp

Method used

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  • Image cross reconstruction-based single-sample registered image face recognition method
  • Image cross reconstruction-based single-sample registered image face recognition method
  • Image cross reconstruction-based single-sample registered image face recognition method

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Embodiment Construction

[0062] Such as figure 1 Shown, the specific implementation steps of the present invention are as follows:

[0063] Step 1: Extract low-frequency information of standard face images

[0064] Perform wavelet transformation on the standard face image, and extract the transformed low-frequency coefficients as registration information;

[0065] Step 2: Obtain a front face image including both eyes of the face to be recognized

[0066] Use a camera with a fixed position, but it can rotate up, down, left, and right to form a certain contour relationship with people, and collect face images that include both eyes; or use a camera that can move up, down, left, and right to collect face images that include both eyes. image.

[0067] Step 3: Extract high-frequency information of the face image to be recognized

[0068] (A) Positioning the image to be recognized to obtain the face part;

[0069] (B) performing illumination processing on the face image to be recognized;

[0070] (C) ...

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Abstract

The invention discloses an image cross reconstruction-based single-sample registered image face recognition method. The method adopting the image cross reconstruction realizes the personal identity authentication by computer analysis and processing, and particularly comprises the following steps: registering low-frequency information of standard face images in a face database; acquiring a front image of a face to be recognized; extracting high-frequency information of the image of the face to be recognized; performing the image cross reconstruction on the high-frequency information of the image of the face to be recognized and the low-frequency information of the registered face images; and finally, performing matching judgment on the fused images and the image of the face to be recognized to realize the identity recognition. The image cross reconstruction-based single-sample registered image face recognition method has the advantages of small space of the database registering the face information, simple algorithm, short recognition time, high recognition rate and the like.

Description

technical field [0001] The invention belongs to the field of identity recognition, and in particular relates to a single-sample registration image face recognition method based on image cross-reconstruction for identity recognition through image cross-reconstruction. Background technique [0002] Face recognition is a technology that uses computers to analyze face images, extract information from face images, and perform identity recognition. Compared with other biometric identifications, face recognition has unique technical advantages in usability, which are mainly reflected in: [0003] 1. It can be operated covertly, especially for security monitoring; [0004] 2. Non-contact collection, non-invasive, easy to be accepted; [0005] 3. It has convenient, fast and powerful post-event tracking capabilities; [0006] 4. Low cost of image acquisition equipment; [0007] 5. It is more in line with human recognition habits and has strong interactivity. [0008] Based on the...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/20G06K9/68
Inventor 柯丽苑玮琦黄艳李蕊
Owner SHENYANG POLYTECHNIC UNIV
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