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Face Recognition Technology Research and Application Based on Subspace

Author: HuZuoLi
Tutor: BaiBaoXing
School: Changchun University of Science and Technology
Course: Applied Computer Technology
Keywords: Principal component analysis
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 81
Quote: 0
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Abstract


Computer face recognition technology is a kind of important biological feature extraction technology, this paper studies the feature extraction and feature classification, key research static facial image recognition method. Based on the feature extraction based on a deep research on the part of the principal component analysis (PCA) method of face recognition principle and realization process, which then was introduced by Fisher linear discriminant methods to solve the influence of illumination by face recognition problem. In order to solve linear discriminant of small sample problems, this paper puts forward the PCA LDA solution. In data preprocessing, are studied by the color feature and eyes in a face image based on the relative position of the face, positioning method, according to the human eye position accurate positioning the face the up and down or so boundary, face the accurate positioning. In the application, based on skin color feature and the human eye accurate positioning method for face detection and location, choose principal component analysis party extraction characteristics, the use of embedded like locks and portrait attendance system as the foundation, the experimental results show can through the portrait to achieve recognition effect.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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