Biometric Iris Recognition Based on Dubechies Wavelet Transform

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Published: 2022-07-15

Page: 453-463


Md. Taibur Rahaman

Department of Mathematics, Rajuk Uttara Model College, Dhaka-1230, Bangladesh.

Umma Kulsum Suma

Department of Mathematics, Bangladesh University, Dhaka-1207, Bangladesh.

Momotaz Katun

Department of Mathematics, Bangladesh University, Dhaka-1207, Bangladesh.

Rajib Biswas *

Department of Mathematics, Bangladesh University, Dhaka-1207, Bangladesh.

Md. Rafiqul Islam

Mathematics Discipline, Khulna University, Khulna-9208, Bangladesh.

*Author to whom correspondence should be addressed.


Abstract

Iris recollection is the essential biometric apparatus that recognize people, based on their iris and eyes. In this study, the iris recognition algrothm is completed via wavelet techniques. The iris recognition approch is completed through multiple steps which are concentrated on image capturing and normalization of the Iris. Then decompose the iris images using Daubechies wavelet and compute into data matrix using MATLAB. Finally, trnaform the data matrix in vector form. In matching stage we impliment Euclidian distance (ED) between two pairs of iris in data vector and choose the minimum distance between them.

Keywords: Iris, vector, camera, biometrics, eyelids


How to Cite

Rahaman, M. T., Suma, U. K., Katun, M., Biswas, R., & Islam, M. R. (2022). Biometric Iris Recognition Based on Dubechies Wavelet Transform. Asian Journal of Pure and Applied Mathematics, 4(1), 453–463. Retrieved from https://globalpresshub.com/index.php/AJPAM/article/view/1629

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