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IJSTR >> Volume 6 - Issue 11, November 2017 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Locating An IRIS From Image Using Canny And Hough Transform

[Full Text]



Poorvi Bhatt



3D Accumulator, Biometrics, Canny Edge Detector, Gaussian Filter, Hough Transform, Iris Recognition, MATLAB



Iris recognition, a relatively new biometric technology, has great advantages, such as variability, stability and security, thus it is the most promising for high security environments. The proposed system here is a simple system design and implemented to find the iris from the image using Hough Transform Algorithm. Canny Edge detector has been used to get edge image to use it as an input to the Hough Transform. To get the general idea of Hough Transform, the Hough Transform for circle is also implemented. RGB value of 3-D accumulator array of peaks of inner circle and outer circle has been performed. And at the end some suggestions are made to improve the system and performance gets discussed.



[1] Xiaomei Liu, Kevin W.Bowyer, Patrick J. Flynn, “Experiments with An Improved Iris Segmentation Algorithm”

[2] J.G. Daugman, “High confidence visual recognition of person by a test of statistical independence , “ IEEE Trans. PAMI 15,1148-1161 (1993)

[3] J.G. Daugman , “The importance of being random: statistical principles of iris recognition, “ Patern. Recognition 36, 279-291 (2003).

[4] J.G. Daugman, “ How iris recognition works,” IEEE trans. Circuits and Syst. For Video Tech. 14(1),21-30(2004).

[5] Book: Digital Image Processing (Second Edition) By Rafael C. Gaonzalez & Richard E. Woods. Chapter: 10 Edge Linking and Boundary Detection.

[6] Canny, J., A Computational Approach To Edge Detection, IEEE Trans. Pattern Analysis and Machine Intelligence, 8:679-714(1986).

[7] Hough Transform David Young, January 1993, revised January 1994 Book: Algorithms For Image Processing And Computer Vision By J. R. Parker. Chapter: 8.4OCR on Fax Images-Printed Characters

[8] Introduction To Computer Vision And Image Processing By Loung Chi Mai. Department of Pattern Recognition and Knowledge Engineering Institute of Infromation Technology, Hanoi, Vietnam.