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A Research on Face Recognition Method Based on Geometric Features

Author: XuZuo
Tutor: ShenHaiHong
School: Chinese Geology University (Beijing)
Course: Communication and Information System
Keywords: Edge Detection Geometric characteristics Feature Extraction Integral projection Face Recognition
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 370
Quote: 3
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Abstract


This article describes the history and research status of face recognition , and discusses some problems for automatic face recognition system to learn the existing key technologies , analyze, summarize the problems and difficulties of the study , focusing on research Face recognition method based on the geometric characteristics , and on this basis proposed improvements. : Part of the face image preprocessing , this article introduces the knowledge of image enhancement , such as gray-scale transformation , median filtering , focuses on edge detection and extraction algorithm , including Roberts operator , Sobel operator , Prewitt operator , LoG operator and Canny operator five image processing edge detection operator , also introduced three improved edge detection operator , and various operators experimental comparison , last used improved Canny operator , and achieved satisfactory results ; organ positioning of the human face images , the integral projection method and the edge detection algorithm combining binary image edge extraction positioning the eyes and mouth position, then on the grayscale image using integral projection method to locate the position of the nose , simple and intuitive, and accurate positioning , extracting and recording the information of the geometric features , extracting characteristic values ??of the eyes, nose and mouth of the position and size of a total of 11 , and the position information and size information are separately recorded for two feature vectors , this can facilitate the subsequent identification process ; in face recognition portion , the secondary recognition method , the first the position feature vector using the nearest neighbor method for matching the extracted closer to eight images , vector matching size characteristics come to be identified in the library face closest to the image face recognition . In this paper, the part of the face in the ORL face database verified by experimental results showed that : this recognition algorithm is not only simple in principle, little calculation, identify the effect is ideal .

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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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