Eye positioning method applied to face recognition

A technology of eye positioning and eye position, applied in character and pattern recognition, instruments, computer components, etc., can solve the problem of unstable face detection and achieve stable positioning

Active Publication Date: 2017-01-11
北京巴塔科技有限公司
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

This method can accurately detect eyes, but the detection effect on faces wearing glasses is unstable

Method used

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  • Eye positioning method applied to face recognition
  • Eye positioning method applied to face recognition
  • Eye positioning method applied to face recognition

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Experimental program
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Embodiment Construction

[0039] Below, the eye positioning method and the face recognition system using the eye positioning method of the present invention will be described in detail with reference to the accompanying drawings.

[0040] The eye positioning method includes the processing of detecting and removing reflective areas, the processing of face detection, the processing of detecting and removing the black frame of glasses, the processing of eye positioning based on SVM, and the processing of eye positioning based on PCA.

[0041]

[0042] The process of detecting and removing the reflective area includes the following processes (1) to (4).

[0043] (1) Calculate the gray histogram of the input image I.

[0044] hist(k), k=0, 1, . . . , 255 is the calculated histogram.

[0045] (2) Use the Otsu method to determine the threshold of the reflection area. The Otsu method is a known method and will not be described in detail here. The determined thresholds are as follows.

[0046] T ...

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Abstract

The invention relates to an eye positioning method applied to face recognition. The method includes the following steps that: a light reflecting area of an image is detected and removed; a face is detected with the Viola-Jones method of the Ada-Boost algorithm; the normalized gradient vector of a face area is calculated, binarization is carried out, a black frame of eyes is detected, the average gray value of adjacent pixels which are not located in a black frame area is adopted to replace the gray value of pixels which are in the black frame area; an eye training set and a non-eye training set are constructed, the non-linear SVM (Support Vector Machine) of a quadratic kernel function is trained, calculation and evaluation are carried out on areas which adopt pixels around the eyes as centers, a pixel with the maximum value is evaluated and is adopted as an eye position, the evaluation is named as confidence; and if the confidence is greater than a set threshold value, the eye position is a final positioning result, otherwise PCA (Principal Component Analysis) is adopted to evaluate the eye position, rotation and zooming transformation is performed on the face area, the Gabor coefficients of transformed images are calculated, and the confidence of face detection is calculated, an image with the largest confidence is selected, and the average position of eyes in the image is adopted as the eye position of the original image.

Description

technical field [0001] The invention relates to an eye positioning method in face recognition. Background technique [0002] Face recognition using face images for identity authentication is a very natural and convenient biometric recognition technology. The change of illumination is the most important factor affecting the performance of face recognition system. In order to avoid the influence of light, near-infrared images have been widely used in face recognition. Usually, the face recognition process includes face detection, eye location, preprocessing, feature extraction and comparison. Robust eye localization plays a very important role in face recognition systems. [0003] Traditional eye localization methods can be roughly divided into three categories: template-based methods, appearance-based methods, and geometric feature-based methods. [0004] Geometric feature-based methods localize eye locations based on eye properties such as edges and iris intensity. Thes...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/165G06V40/161
Inventor 陈磊周淑娟
Owner 北京巴塔科技有限公司
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