Thursday 28th of March 2024
 

Fast Subsequent Color Iris Matching in large Database


Adnan Alam Khan, Safeeullah Soomro and Irfan Hyder

Databases play an important role in cyber world. It provides authenticity across the globe to the legitimate user. Biometrics is another important tool which recognizes humans using their physical statistics. Biometrics system requires speedy recognition that provides instant and accurate results. Biometric industry is looking for a new algorithm that interacts with biometric system reduces its recognition time while searching its record in large database. We propose a method which provides an appropriate solution for the aforementioned problem. Iris images database could be smart if iris image histogram ratio is used as its primary key. So, we have developed an algorithm that converts image histogram into eight byte code which will be used as primary key of a large database. Second part of this study explains how color iris image recognition can take place. For this a new and efficient algorithm is developed that segments the iris image and performs recognition in much less time. Our research proposes a fast and efficient algorithm that recognizes color irises from large database. We have already implemented this algorithm in Matlab. It provides real-time, high confidence recognition of a person\'s identity using mathematical analysis of the random patterns that are visible within the iris of an eye.

Keywords: Smart database, Histogram, NIR, IRIS

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ABOUT THE AUTHORS

Adnan Alam Khan
PhD Scholar at PAF-KIET

Safeeullah Soomro
Dr. Safeeullah Soomro received B.Sc (Hons) computer Science (1996) and M.Sc in Computer Science (1997) from University of Sindh, Jamshoro (www.usindh.edu.pk) Pakistan. He defended his PhD in 2007 from Graz University of Technology, Austria. He carried out research at Graz University of Technology (www.tugraz.at), Austria during 2003 - 2007. He has been involved in research and teaching since 1998. He has taught in different institutes of Pakistan. His research interest revolves around software debugging, formal verification and software testing. In particular, He is interested in applying model-based diagnosis and reasoning techniques to the field of automated software debugging of java programs. Furthermore, He is interested to carry out research in the formal methods. He is author of several national and international publications in conference proceedings, books and journals. He is a reviewer and committee member of different international and national conferences. He has more than 12 years of experience in teaching and research. He is an approved supervisor of Higher Education Commission (HEC) Pakistan and can supervise PhD Students. He is a member of IEEE, IEEE Computer Society, ISOC and SUCSA. Previously He supervised MS students from top ranking university in Pakistan. He is editor of three books and these are recognized internationally.

Irfan Hyder
Professor and Vice Chancellor at PAF-KIET, Karachi, Pakistan


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