A State of Art for Survey of Combined Iris and Fingerprint Recognition Systems

Dindar Mikaeel Ahmed *

Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq.

Siddeeq Y. Ameen

Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq.

Naaman Omar

Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq.

Shakir Fattah Kak

Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq.

Zryan Najat Rashid

Sulaimani Polytechnic University, Sulaimani, Kurdistan Region, Iraq.

Hajar Maseeh Yasin

Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq.

Ibrahim Mahmood Ibrahim

Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq.

Azar Abid Salih

Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq.

Nareen O. M. Salim

Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq.

Awder Mohammed Ahmed

Sulaimani Polytechnic University, Sulaimani, Kurdistan Region, Iraq.

*Author to whom correspondence should be addressed.


Abstract

Biometrics is developing into a technological science in this lifelong technology for the defense of identification. Biometrics is the technology to recognize individuals based on facial features, fingerprints, iris, retina, speech, handprints, etc. Biometric features are used for human recognition and identification. Much research was done in the last years on the biometric system because of a growing need for identification methods. This paper offers an overview of biometric solutions using fingerprint and iris identification, their uses, and Compare the data set, methods, Fusion Level, and the accuracy of the results.

Keywords: Hyper biometrics, fusion level; iris recognition, fingerprint recognition, identification techniques


How to Cite

Ahmed, Dindar Mikaeel, Siddeeq Y. Ameen, Naaman Omar, Shakir Fattah Kak, Zryan Najat Rashid, Hajar Maseeh Yasin, Ibrahim Mahmood Ibrahim, Azar Abid Salih, Nareen O. M. Salim, and Awder Mohammed Ahmed. 2021. “A State of Art for Survey of Combined Iris and Fingerprint Recognition Systems”. Asian Journal of Research in Computer Science 10 (1):18-33. https://doi.org/10.9734/ajrcos/2021/v10i130232.

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