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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/14842

Title: Real-Time Iris Detection
Authors: Mohamed Rizon
Naif Alajlan
Keywords: face detection
iris detection
illumination normalization,
face recognition
Issue Date: 2010
Publisher: Springer- Japan
Abstract: A real-time algorithm to automatically detect human face and irises from color images has been developed. Haar cascade-based algorithm has been applied for simple and fast face detection. The face image is then converted into grayscale image. Three types of image processing techniques have been tested respectively to study its effect on the performance of iris detection algorithm. Then, iris candidates are extracted from the valley of the face region. The iris candidates are paired up and the cost of each possible pairing is computed by a combination of mathematical models. The pairing with the lowest cost is considered as iris. The algorithm has been tested by quality images from Logitech camera and noisy images from Voxx CCD camera. The proposed algorithm has achieved a success rate of 83.60% for iris detection in an open office environment
URI: http://hdl.handle.net/123456789/14842
Appears in Collections:College of Applied Medical Sciences

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