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.

Highlights

  • When we talk to someone, we usually look at his face

  • Since optical filtering basically rely on using spatial Fourier transform of images in frequency domain, practically it can be achieved by use of simple optical elements such as converging lenses [4]

  • Face recognition problems are divided in two major subsets as face identification and face verification

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Summary

Introduction

When we talk to someone, we usually look at his face. Face recognition plays an important role in social interactions and is crucial for security check and human machine interface. Face recognition has advantages over other biometrics It has been a challenging subject for over 50 years and yet many researchers are investigating on methods to solve its complicated problems. Filtering images for image processing purposes involving face recognition has been investigated in two main categories. One is to use optical correlators in which face images are considered as a whole and the other is to use digital methods in which pixel computations under the concept of digital image processing are concerned [1] [2]. Using optical filters to measure similarity between images is being considered for decades [3]. A review on optical image processing using Vanderlugt filtering and its calculations which are the basics of. (2016) Frequency Domain Approach for Face Recognition Using Optical Vanderlugt Filters.

A Review on Optical Image Processing Using Vanderlugt Filters
Providing Vanderlugt Filter of an Image
Image Processing by Means of the Vanderlugt Filter
Our Investigation
Findings
Conclusion

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