NDLI: FingerCode for identity verification using fingerprint and smart card

Content Provider	IEEE Xplore Digital Library
Author	De Zhi, V.T. Suandi, S.A.
Copyright Year	2015
Description	Author affiliation: Intell. Biometric Group, Univ. Sains Malaysia, Nibong Tebal, Malaysia (De Zhi, V.T.; Suandi, S.A.)
Abstract	Identity verification is very important in the world today and it is used in our everyday life. Systems like smart card identity verification has its weakness and it can be easily abused. The integration between fingerprint verification and National Registration Identity Card (MyKad) verification elevates the security in identification to the highest level as fingerprints are unique from one another and there is only one MyKad for each citizen in Malaysia. Fingerprints contain a lot of information and they are called minutiae. These minutiae are captured and stored inside FingerCode. FingerCode contains the information of the fingerprint core. The core of the fingerprints are detected using complex filtering and it is cropped and normalized to avoid unwanted noise. The core is segmented into sectors during the tessellation process. After that, the cropped fingerprint core is convolved with 8-directions of Gabor filters to get the flow of the ridges and furrows. Each Gabor filtered result is saved as a FingerCode. The verification success rate is 90% out of 40 attempts from 10 different people. There are a total of 100 fingerprints from 10 people which is converted into FingerCode in the database. The processing time for MyKad verification is 0.62seconds. The average processing time for the fingerprint verification is 1.3 sec.
Starting Page	1
Ending Page	6
File Size	2926285
Page Count	6
File Format	PDF
ISBN	9781479978625
DOI	10.1109/ASCC.2015.7244877
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-31
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tensile stress identity verification Databases Image matching Euclidean distance Fingerprint recognition Feature extraction Gabor filters fingerprint recognition FingerCode
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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