Face identification method based on Gabor wavelet and SB2DLPP

A face recognition, face image technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve problems such as loss of structural information, singular values, etc.

Inactive Publication Date: 2015-06-10
JIANGNAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, these algorithms are all vector-based, and need to convert the two-dimensional image matrix into a one-dimensional vector first
This conversion usua

Method used

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  • Face identification method based on Gabor wavelet and SB2DLPP
  • Face identification method based on Gabor wavelet and SB2DLPP
  • Face identification method based on Gabor wavelet and SB2DLPP

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Embodiment

[0057] Embodiment: The embodiment of the present invention uses the public Yale face database for recognition operation. The Yale storehouse that the embodiment of the present invention uses has included 165 pieces of human face images of 15 people, and each person has 11 different human face images, and these images have different expressions (sadness, joy, normal, drowsiness, surprise, wink), Different lighting conditions (left light source, front light source, right light source) and different facial details (with / without glasses).

[0058] like figure 1 Shown, a kind of face recognition method based on Gabor wavelet and SB2DLPP is characterized in that comprising the following steps:

[0059] Step S1, select 6 images, a total of 90 face images from each person in the Yale database to construct a training image dataset, and the remaining 75 images are used to construct a test image dataset.

[0060] Step S2, preprocessing all original face images in the training image dat...

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Abstract

The invention discloses a face identification method based on Gabor wavelet and SB2DLPP. The face identification method based on the Gabor wavelet and SB2DLPP mainly includes pre-treatment, feature extraction, feature dimension reduction and classification identification, and to be specific, the face identification method includes that (1) pre-treating all the face images in a known face database, wherein the pre-treatment includes scale normalization and histogram equalization; (2) using the Gabor wavelet to extract features of the pre-treated face images; (3) leading in class information, and using a supervised bidirectional two-dimensional local preserving projection (SB2DLPP) algorithm to reduce the dimensions of the high-dimensional image features extracted through the step (2) to extract feature matrices mapped to a low-dimensional sub-space; (4) using a nearest neighbor classifier to perform classification identification. The face identification method based on the Gabor wavelet and SB2DLPP uses the Gabor wavelet and improved SB2DLPP algorithm to identify images, the problems that a traditional face identification method is easy to be influenced by light, expression and the like external factors are overcame, and the face identification rate is effectively improved.

Description

technical field [0001] The invention belongs to the technical fields of image processing, computer vision and pattern recognition, in particular to a face recognition method based on Gabor wavelet and SB2DLPP. Background technique [0002] Face recognition technology is a technology that extracts facial features through computers, and uses these features for identification and verification. As an important biological feature, human face conveys very important information. Because of its unique characteristics, it can convey individual identity information, so face recognition technology is the fastest-growing biometric recognition technology in recent years. At present, face recognition has broad application prospects in credit card identification, security inspection, monitoring and other fields. However, due to the complexity of the face structure, the face changes caused by expressions, age and posture, and the variability caused by the illumination and shooting angles ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/54G06K9/66
Inventor 狄岚徐秀秀梁久祯
Owner JIANGNAN UNIV
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