COMPARATIVE ANALYSIS OF FACE, IRIS AND FINGERPRINT RECOGNITION SYSTEMS
Journal Title: World Journal of Engineering Research and Technology - Year 2018, Vol 4, Issue 4
Abstract
Biometrics is the science of establishing the identity of an individual based on the physical chemical or behavioural attributes of the person. Among these face, iris and fingerprint have remained the most researched and commonest means of biometric recognition. This paper conducted a comparative analysis of face, iris and fingerprint recognition systems on images captured in an uncontrolled environment. The images were first preprocessed and features were extracted using Discrete Wavelet Transform while Euclidean distance was used for classification at both training and testing stages. The performance of the developed system was evaluated using training time, accuracy and testing time. Experimental results revealed that Iris recognition system has the highest recognition accuracy of 85.5% while the least average recognition time of 1.28sec was recorded with Fingerprint recognition system.
Authors and Affiliations
Adedeji Oluyika Titilayo
Keywords
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- EP ID EP662373
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