Score Normalization Rules in Iris Recognition

Encyclopedia of Biometrics ◽

10.1007/978-1-4899-7488-4_169 ◽

2015 ◽

pp. 1325-1335

Author(s):

John Daugman

Keyword(s):

Iris Recognition ◽

Score Normalization

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Score Normalization Rules in Iris Recognition

10.1007/springerreference_70925 ◽

2012 ◽

Keyword(s):

Iris Recognition ◽

Score Normalization

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Multimodal Face and Iris Recognition with Adaptive Score Normalization Using Several Comparative Methods

Indian Journal of Science and Technology ◽

10.17485/ijst/2019/v12i7/140755 ◽

2019 ◽

Vol 12 (7) ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Lemmouchi Mansoura ◽

Athamena Noureddine ◽

Ouarda Assas ◽

Abdessemed Yassine ◽

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...

Keyword(s):

Iris Recognition ◽

Comparative Methods ◽

Score Normalization

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Keeping an Eye on School Security: The Iris Recognition Project in New Jersey Schools

PsycEXTRA Dataset ◽

10.1037/e538032006-003 ◽

2006 ◽

Author(s):

Jeffrey P. Cohn

Keyword(s):

New Jersey ◽

Iris Recognition ◽

School Security

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IRIS AND FINGER VEIN MULTI MODEL RECOGNITION SYSTEM BASED ON SIFT FEATURES

Journal of Advanced Sciences and Engineering Technologies ◽

10.32441/jaset.v1i2.119 ◽

2018 ◽

Vol 1 (2) ◽

pp. 34-44

Author(s):

Faris E Mohammed ◽

Dr. Eman M ALdaidamony ◽

Prof. A. M Raid

Keyword(s):

Iris Recognition ◽

Recognition Performance ◽

Recognition System ◽

Individual Identification ◽

Work Place ◽

Identification Process ◽

Finger Vein ◽

Noise Point ◽

Vein Recognition ◽

A New Technique

Individual identification process is a very significant process that resides a large portion of day by day usages. Identification process is appropriate in work place, private zones, banks …etc. Individuals are rich subject having many characteristics that can be used for recognition purpose such as finger vein, iris, face …etc. Finger vein and iris key-points are considered as one of the most talented biometric authentication techniques for its security and convenience. SIFT is new and talented technique for pattern recognition. However, some shortages exist in many related techniques, such as difficulty of feature loss, feature key extraction, and noise point introduction. In this manuscript a new technique named SIFT-based iris and SIFT-based finger vein identification with normalization and enhancement is proposed for achieving better performance. In evaluation with other SIFT-based iris or SIFT-based finger vein recognition algorithms, the suggested technique can overcome the difficulties of tremendous key-point extraction and exclude the noise points without feature loss. Experimental results demonstrate that the normalization and improvement steps are critical for SIFT-based recognition for iris and finger vein , and the proposed technique can accomplish satisfactory recognition performance. Keywords: SIFT, Iris Recognition, Finger Vein identification and Biometric Systems. © 2018 JASET, International Scholars and Researchers Association

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