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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
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DCT Based Iris Feature Extraction and Recognition for Security System

PROF. ARJUN NICHAL, MR. PAVAN JADHAV, MR. VISHAL NIKAM, MR. VITHOBA HIPPARKAR Assistant Professor, Electronics and Telecommunication, AITRC, Vita, India Student, Electronics and Telecommunication, AITRC, Vita, India Student, Electronics and Telecommunication, AITRC, Vita, India Student, Electronics and Telecommunication, AITRC, Vita, India

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Abstract: This paper presents a iris coding method based on differences of discrete cosine transform (DCT) coefficients of overlapped angular patches from normalized iris images. The work presented in this paper involved developing an „open-source‟ iris recognition system in order to verify both the uniqueness of the human iris and also its performance as a biometric. For determining the recognition performance of the system two databases of digitised greyscale eye images were used. The iris recognition system consists of an automatic segmentation system that is based on the Hough transform, and is able to localise the circular iris and pupil region, occluding eyelids and eyelashes, and reflections. The extracted iris region was then normalised into a rectangular block with constant dimensions to account for imaging inconsistencies. The Hamming distance was employed for classification of iris templates, and two templates were found to match if a test of statistical independence was failed.

Keywords: Iris Recognition, DCT, Biometrics, Image Processing.

How to Cite:

[1] PROF. ARJUN NICHAL, MR. PAVAN JADHAV, MR. VISHAL NIKAM, MR. VITHOBA HIPPARKAR Assistant Professor, Electronics and Telecommunication, AITRC, Vita, India Student, Electronics and Telecommunication, AITRC, Vita, India Student, Electronics and Telecommunication, AITRC, Vita, India Student, Electronics and Telecommunication, AITRC, Vita, India, “DCT Based Iris Feature Extraction and Recognition for Security System,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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