06-10-2010, 12:00 PM
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Iris Recognition
BIOM 426: Biometrics Systems
Instructor: Natalia Schmid
Abstract
The biometric person authentication technique based on the pattern of the human iris is well suited for application to any access control system requiring a high level of security. Iris technology has been applied to person verification and identification. This thesis examines
1) Comparitive study of biometric security techniques such as fingerprint, voice, facial, retina and iris.
2) An algorithm for iris recognition system, which is composed of iris image acquisition, segmentation, normalization, feature extraction and matching.
In this a fusion mechanism that amalgamates canny edge detection scheme is used to detect the iris’ boundaries in the eye’s digital image. Haar wavelet is applied in order to extract the deterministic patterns in a person’s iris in the form of a feature vector. By comparing the quantized vectors using the Hamming Distance operator, determined finally whether two irises are similar. Experimental results show that the algorithm is efficient and adaptive to environment. The system performed with perfect recognition on a set of eye images. Therefore, iris recognition is shown to be a reliable and accurate biometric technology.
Reference: https://seminarproject.net/Thread-iris-r...z11Ycg7fMl