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This paper summarizes the recent development of illumination compensation for face recognition. Then a new method is proposed by extracting illumination invariant features in contourlet transform domain based on human visual perception mechanism. The experimental results on Yale B and CMU PIE face databases demonstrate that it is effective and competitive.
2D-Gabor transforms are considered as an effective spatial-frequency analysis technique in diverse area of image processing, especially in texture feature detection field due to it owns good localization ability in both spatial and frequency domain and also has excellent directional selectivity. In this paper, a method of feature extraction of palm print using real-Gabor transform (RGT) is proposed,...
Based on the three popular open sources as Struts, Spring and Hibernate (SSH), an integrated framework for e-human resource (E-HR) is proposed in this paper as an effective web application framework. E-HR is generally regarded as a complicated enterprise information system and the proper application framework is supposed to improve the system expansibility and the enterprise competitiveness as well...
This paper presents a high performance face recognition system, in which the face database has a large amount of 2.5 million faces. Huge as the face database is, the recognition processes in ordinary ways meets with great difficulties: the identification rate of most algorithms may decline significantly; meanwhile, querying on a large-scale database may be quite time-consuming. In our system, a special...
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