Hybrid Featured in Face Recognition

سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,227

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شناسه ملی سند علمی:

BPJ01_626

تاریخ نمایه سازی: 29 دی 1392

چکیده مقاله:

Face recognition is always looking for methods and systems which can perform face recognition same or better than human at acceptable precision and speed. Face recognition systems are mainly based on single biometric attributes. But through the time and the need to more precision and effectiveness and overcoming challenges and limitations of single biometric systems, composition in biometric systems found position in researches. These kinds of systems could be implemented in various levels such as composition in the level of sensor, attribute, guess and decision, that each could have different structure. One of the most important levels is composition in guess. Experiments show that the mentioned method is more effective in guess level. In present paper it is tried to show that with using the benefit of compound methods, face recognition as one of the most important biometrics would be more in attention. The proposal method is a compound method with parallel structure in guess level and has adaptive advantages of three extractor algorithm called PCA, LDA and Gabor operator for composition.To compound advantages a neural network of feed forward back propagation type is used. Experiments results on Feret, Ar and Yale datasets show that using suggested method could be helpful in decreasing extrinsic factors like brightness and changes causes from the position and the gesture on the different algorithms and improves the results. Also using different neural network, we perform detecting face status. Improved results on different algorithms in mentioned dataset are shown in table below.

نویسندگان

Mohsen Zangian

Azad University Shahrood branch

Seyed Mohammad Reza Hashemi

Azad University, Qazvin branch eng

Vahid Rostami

Faculty Member of Azad University, Qazvin branch

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  • _ National Conference on New Approaches in Computer Engineering and ...
  • reconstructio _ and LDA. Optik-ا nternational Journal for Light and ...
  • International Journal. 2013;3(3). ...
  • P rogra mming-PCA Hybrid Face Recognition Algorithm. J Signal and ...
  • approach based _ sub-pattern technique and whitened PCA for face ...
  • Multimodal", IEEE MELECON 2006, May 2006, pp. 498-501 ...
  • Aleix M. Mart6Anez, Avinash C. Kak, "PCA Versus LDA", IEEE ...
  • B. Duc, S. Fisher, and J. Bigin, "Face Auth enticatio ...
  • MH Yang, N. Ahuja, and D. Kriegman, "A survey on ...
  • JG Daugman, 'Two dimensional spectral analysis of cortical receptive field ...
  • J. Zhang, Y. Yan, and M. Lades, "Face Recognition: Eigenface, ...
  • Bozorgtabar B, Rad GAR. A Genetic P rogra mming-PCA Hybrid ...
  • Hsieh P-C, Tung P-C. A novel hybrid approach based _ ...
  • L. Wiskott, JM Fellous, N. Kriger and Christoph von der ...
  • P. Phillips, "The FERET database and evaluation procedure for face ...
  • Discrimination Features for Face Recognition", Informatica, 20(1):115-138, 2009. ...
  • KresimirDelac, MislavGrgic, Sonja Grgic , "Independent comparative Study of PCA, ...
  • Jaiswal A, Kumar N, Agrawal RK. A Hybrid of Principal ...
  • Applications: Springer; 2012. p. 67-73. ...
  • نمایش کامل مراجع