Frequency Domain Approach for Face Recognition Using Optical Vanderlugt Filters

Abstract

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.

Structured light based optical pattern recognition:Principle and technical progress

“…并且随着空间光调制器性能的愈加稳定, 人们可以 摆脱全息法制作匹配滤波器的非实时识别, 采用光电 混合型实现准实时识别. 除了实时性的追求以外, 人 们还实现了对复杂图像识别, 比如人脸 [43][44][45][46] 、DNA序 列 [47] 、虹膜 [48] 等生物信息用于安全系统的识别以及三 维 [49][50][51][52] 、彩色物体 [53][54][55][56] 等其他维度的复杂识别. 最近 JTC的概念还被应用于编码解码领域 [57][58][59] .…”