A Competent Eyes Recognition In Facial Images Using Circular Hough Transform

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Published Jul 20, 2016
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Vol. 2 No. 4 (2016): IEJRD

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Ms. Komal Madekar
1 (Department of Electronics Priyadarshani College of Engineering Nagpur, Maharashtra
, Prof. R. C. Iyer
(Department of Electronics Priyadarshani College of Engineering Nagpur, Maharashtra)
, Prof. P. J. Suryawanshi
3 (Department of Electronics Priyadarshani College of Engineering Nagpur, Maharashtra-

Abstract

This paper is to discuss a method to extract face region, Eyes and Irish. To maintain a database of a person this can be used for commercial as well as for non-commercial purpose like Aadhar Card. The first footstep is to extraction of face of the person. Identification of face is detected by image segmentation through skin color using an adaptive thresholding method. The benefit of adaptive thresholding method that it adapts mechanically to the skin color of the user. After face detection, eyes will be notice and trail. The basic Circular Hough transform algorithm is used to process the image to detect the iris. The algorithm is implemented and checked with different database. Most of the faces are frontal with open eyes. The detection accuracy is 84%.

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Ms. Komal Madekar, , Prof. R. C. Iyer, and , Prof. P. J. Suryawanshi, “A Competent Eyes Recognition In Facial Images Using Circular Hough Transform”, IEJRD - International Multidisciplinary Journal, vol. 2, no. 4, p. 6, Jul. 2016.

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