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The Research on Face Authentication System and Related Techniques Based on Trace Transform

Author: YuQiBing
Tutor: OuZongZuo
School: Dalian University of Technology
Course: Mechanical Design and Theory
Keywords: Face authentication trace transform Contrast limited adaptive histogram equalization Hausdorff associated Reinforcement Learning
CLC: TP391.41
Type: Master's thesis
Year: 2006
Downloads: 184
Quote: 3
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Abstract


Based biometric authentication technology has an increasingly important position and role in the social life. In a variety of biometric authentication methods, based on the identification and authentication of human facial features as a non-invasive, low cost, good for hiding, do not need to be measured by specific combining the advantages of widespread concern and attention, with a wide range of applications prospects. As a hotspot of current research in the field of pattern recognition is also one of the difficulties people face identification and authentication is a challenging research topic. The main study includes face detection technology, face recognition authentication technology and human facial expression understanding and synthesis. In this paper, a new face authentication method and the face detection image enhancement processing, face recognition image pretreatment the research: face detection image enhancement processing, the introduction of a The new image contrast enhancement technology and - contrast limited adaptive histogram equalization (Contrast Limited Adaptive Histogram Equalization, CLAHE). It combines adaptive histogram equalization the the contrast limited two treatments principle, able to maximize image contrast, image gray level distribution of the best, to get the best visual effects. This makes the detection accuracy of the face to obtain significantly improved. Face image library BAC2005-FDIB-B on experimental results demonstrate the effectiveness of this method. Face image preprocessing, a new oval template standardization. It uses a standard ellipse template, instead of the traditional rectangular template to intercept the major face region. Geometric correction, image mask, grayscale normalized one process, unified the orientation and size of the face, weakening illumination changes affect image quality, maximize the elimination of the hair, the background interference information, so be certified normalization of face images, the face of the fixed-size matching module. In exploring new face authentication method, research, and a Trace transform based face verification system. The system first trace transform the primitive people face image is converted to trace transform space; appropriate segmentation parameters obtained by reinforcement learning, after threshold segmentation, edge detection, face Trace transform features, and in order to establish a A new face expression; re-use the similarity measure associated with the-Hausdorff one contains both characterized in the structure information contains the information of its space to complete the matching of the characteristics, thus realizing the face authentication. Face image library FDIB-B experiment results show that the method can achieve better 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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