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Face Recognition Method Based on Specific

Author: ZhangZhiWei
Tutor: LvYingHua
School: Northeast Normal University
Course: Applied Computer Technology
Keywords: Specific region Principal component analysis Nearest-neighbor Face recognition
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 4
Quote: 0
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Abstract


The person face recognition that is an active research area, is one ofhuman vision most outstanding abilities. Although the person facedistinguished rate of accuracy is generally lower than the iris, fingerprintrecognition, but as a result of its non-violation and most nature anddirect-viewing way to the user, the person face recognition is the mostlyaccepted biological features recognition way. In this paper, we propose anovel face model to explicitly characterize the image differencesconveyed by each face image. It exploit knowledge of which types of facevariations are critical for recognition, which are more important inreal-world applications. In the preprocessing stage of face recognitionsystem using this method, we can effectively improve the recognition ratein the equal time.Two face image databases, namely ORL, and Yale, are used toevaluate performance. Experimental results demonstrate the efficacy ofthe proposed specific area selection approach in face recognition.

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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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