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

A local ternary mode and face feature technology, applied in the field of face recognition, can solve problems such as increasing the difficulty of face feature extraction, and achieve good suppression effect and high accuracy

Active Publication Date: 2011-08-24
厚普清洁能源(集团)股份有限公司
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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

Method used

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

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Embodiment Construction

[0039] The method of the present invention is simulated in the Matlab tool, and VS2008 software is used to realize the C++ language. The platform used is Windows XP SP3+PC Intel Celeron 2.53GHZ.

[0040] A specific implementation example of the present invention is given below.

[0041] It should be noted that the parameters in the following examples do not affect the generality of this patent.

[0042] For the original face image of 128*128 size, the DOG filter is used for filtering, and then the down-sampling layer with a sampling factor of 2 is obtained to obtain an 8-layer image pyramid, and the 3rd to 8th layers are selected using Extract the LTP eigenvalues ​​of each layer image, and then count the positive and negative LTP sub-eigenvalue histograms of each layer image in the 3rd to 8th layers of the face image pyramid, and then calculate the positive and negative LTP sub-eigenvalue histograms of each layer image in the face image pyramid. The vector H corresponding t...

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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 ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 马争蒋思洋鲍琎
Owner 厚普清洁能源(集团)股份有限公司
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