A Feature Level Extraction based on Iris Recognition for Secure Biometric Authentication
نویسندگان
چکیده
منابع مشابه
A Fast Localization and Feature Extraction Method Based on Wavelet Transform in Iris Recognition
With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This rese...
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Humans have distinctive and unique traits which can be used to distinguish them from other humans, acting as a form of identification. A number of traits characterising physiological or behavioral characteristics of human can be used for biometric identification. Basic physiological characteristics are face, facial thermograms, fingerprint, iris, retina, hand geometry, odour/scent. Voice, signa...
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An iris based biometric recognition system provides identification of an individual based on a unique feature or characteristic possessed by that individual. Iris recognition is consider as the most reliable and accurate biometric identification system. In this paper we explore the performance of the iris based recognition system. We take iris image of ten different people and after segmentatio...
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In the present age of digital impersonation, biometric techniques are being used increasingly to prevaricate against identity thefts. Iris recognition is a proven, accurate means to identify people. Iris is regarded as the most reliable biometric feature in terms of its uniqueness and robustness. The objective of this work is to present a biometric authentication system for high security physic...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/ijca2015905586