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Face detection and identification method

A technology of face detection and recognition method, which is applied in the field of face recognition, can solve the problems that face recognition cannot achieve the expected effect, and achieve the effect of accurate face detection and recognition method

Active Publication Date: 2014-07-02
ZHEJIANG UNIV
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Problems solved by technology

However, the actual face recognition attendance system will also face some challenges. Affected by factors such as illumination, occlusion, scale or movement of the face area, the current face recognition has not yet achieved the expected effect

Method used

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Embodiment Construction

[0019] The implementation process of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0020] like figure 1 As shown, the present invention provides a face detection and recognition method, which is divided into two parts: face training and face testing. The face training process is carried out according to the following steps:

[0021] Step 1: Use the face classifier to detect the face on the input training image, and use the eye classifier to locate the eyes on the detected face, and then perform geometric correction and histogram correction on the face according to the coordinates of the eyes , obtain standardized face samples, and establish a face training database with multiple face training images;

[0022] Step 2: The images in the face training database are preprocessed by haar wavelet, and the low-frequency components of the images are retained as the input of the subsequent feature extraction algorithm;

[002...

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Abstract

The invention relates to a face detection and identification method. The face detection and identification method includes the steps that 1, face detection is carried out on an image obtained by a camera through a face detector based on the haar characteristic and an Adaboost cascade classifier, the eyes of the detected face are located through an eye classifier based on RNDA and Adaboost, geometric correction and histogram modification are carried out, and then a modification face sample is obtained; 2, the image is preprocessed through haar wavelets, and low-frequency components of the image are reserved as the input of a later feature extraction algorithm; 3, characteristic training is carried out on the obtained low-frequency components according to an improved direct linear identification and analysis method, and an optimal characteristic projection matrix is obtained, wherein the improved direct linear identification and analysis method is based on a new identification rule; 4, the low-frequency components of the face are projected into the optimal characteristic projection matrix, face images are matched according to a nearest neighbor classification method, and measurement is carried out by the utilization of the Euclidean distance. The face detection and identification method is rapid and accurate.

Description

technical field [0001] The invention relates to an image recognition method, in particular to a face recognition method. Background technique [0002] The identification methods of the traditional time attendance system are mainly attendance card and radio frequency card. Due to the separability of the identification person, it is easy to cause the phenomenon of punching the card. Therefore, biometric identification technology has gradually become the main means of identification. At present, the fingerprint time attendance system using biometric identification technology has been widely used. However, the fingerprint attendance system needs special image acquisition equipment to acquire fingerprints, and the image acquisition is touch or contact, which will bring discomfort to users. Moreover, there are many groups or individuals whose fingerprint features are so few that it is difficult to image; when users use fingerprint collection equipment, they will leave fingerprint...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 王友钊黄静潘芬兰
Owner ZHEJIANG UNIV
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