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Frequency Domain Approach for Face Recognition Using Optical Vanderlugt Filters 被引量:2

Frequency Domain Approach for Face Recognition Using Optical Vanderlugt Filters
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摘要 In this paper human face machine identification is experienced using optical correlation techniques in spatial frequency domain. This approach is tested on ORL dataset of faces which includes face images of 40 subjects, each in 10 different positions. The examined optical setup relies on optical correlation based on developing optical Vanderlugt filters and its basics are described in this article. With the limitation of face database of 40 persons, the recognition is examined successfully with nearly 100% of accuracy in matching the input images with their respective Vanderlugt synthesized filters. Software simulation is implemented by using MATLAB for face identification. In this paper human face machine identification is experienced using optical correlation techniques in spatial frequency domain. This approach is tested on ORL dataset of faces which includes face images of 40 subjects, each in 10 different positions. The examined optical setup relies on optical correlation based on developing optical Vanderlugt filters and its basics are described in this article. With the limitation of face database of 40 persons, the recognition is examined successfully with nearly 100% of accuracy in matching the input images with their respective Vanderlugt synthesized filters. Software simulation is implemented by using MATLAB for face identification.
作者 Faranak Heidari Hassan Kaatuzian Armin Alizadeh Faranak Heidari;Hassan Kaatuzian;Armin Alizadeh(Photonics Research Lab (PRL), Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran)
出处 《Optics and Photonics Journal》 2016年第8期94-100,共7页 光学与光子学期刊(英文)
关键词 Frequency Domain Approach for Face Recognition Using Optical Vanderlugt Filters Frequency Domain Approach for Face Recognition Using Optical Vanderlugt Filters
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