Method for extracting face characteristic based on local three-value mode

Abstract

The invention relates to a method for extracting a face characteristic based on a local three-value mode, belonging to the technical field of image processing. The method comprises the following steps of: firstly carrying out down sampling on an original face image to construct a face image pyramid, then calculating LTP (long-term potentiation) characteristics of all the pixel points in an image at each layer, and then dividing the LTP characteristics of all the pixel points into positive LTP sub characteristics and negative LTP sub characteristics, respectively carrying out statistics to obtain a positive LTP sub characteristic value histogram and a negative LTP sub characteristic value histogram of the image at each layer in the face image pyramid, and finally connecting vectors H+ and H- corresponding to the positive LTP sub characteristic value histogram and the negative LTP sub characteristic value histogram as the final characteristic of the original face image I (x, y). In the invention, the local characteristic of the LTP characteristic and the statistics characteristics of all the local LTP characteristic histograms are utilized to realize uniformity of the local characteristic and global characteristic, and the LTP characteristic has a better inhibition effect on noise compared with the LBP (local binary pattern) characteristic which is frequently adopted. The extracted characteristic has the characteristics of constant rotation and constant grey scale, and face characteristic can be accurately extracted under the influences that illumination condition is changed, face expression is changed and a gesture is changed.

Description

technical field [0001] The invention belongs to the technical field of image processing, and mainly relates to face recognition technology in biometric identification. Background technique [0002] In today's information age, how to accurately identify a person's identity and protect information security is a key social problem that must be solved. For this reason, biometric identification technology has quietly emerged, and has become a frontier research topic in the field of information security management in the world. Biometric identification technology refers to the use of the inherent physiological or behavioral characteristics of the human body for personal identification. Face recognition technology is a branch of biometric identification technology, which is the application of computer image processing technology and pattern recognition technology in the field of personal identification. Among different biometric identification methods, automatic face recognition ...

AI Technical Summary

Problems solved by technology

In practice, the face area is often blocked by hair, glasses, beard and some accessories, and complex lighting, facial expressions, and posture changes will also increase the difficulty of face feature extraction

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