International Journal of Science , Engineering and Management (IJSEM)

Monthly Journal for Science , Engineering and Management

Volume3,February 2018,

Topic : Feature Extraction Methods of Iris Recognition

Authors:Sarika B.Solanke || Ratnadeep R. Deshmukh

Abstract:The biometric recognition system is today’s essential need. Among the biometrics, iris has highly accurate and reliable characteristics. Iris recognition technique is used in many applications such as Aadhar card system, Airport security, access control in factories, identification for Automatic Teller Machines and restricted access to police evidence rooms.The algorithms used in iris recognition are categorized into three stages: Image Preprocessing, Feature Extraction and Template Matching.We have studied the various Iris Recognition algorithms. This paper provides a review of major feature extraction methods of iris recognition.The Image preprocessing and Feature Extraction are the essential steps for accurate accuracy. Cumulative Sums Change Analysis Method of feature extraction is more reliable than other methods. Hamming distance method is the most useful method for template matching. Various databases of iris are available that will be useful for researchers to implement the application for identification or verification.

Keywords: Iris Recognition, Image Preprocessing, Feature Extraction, Template Matching

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DOI: 01.1617/vol5/iss2/pid23718


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Editor-in-Chief

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Dr.Muhammad Ishtiaq,
Mirpur University of
Science & Technology,
Mirpur, Azad Kasmir.

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IMPACT FACTOR: 2.7

ISSN(Online): 2456-1304

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 25%
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Journal Code : IJSEM
Electronic ISSN : 2456-1304
Impact Factor : 2.7
Frequency : Monthly
Contact : editor@ijsem.org

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