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Soft computing in biometrics: a pragmatic appraisal
Siddaganga Instistute of Technology.
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-1429-2345
2013 (English)In: American Journal of Intelligent Systems, ISSN 2165-8978, E-ISSN 2165-8994, Vol. 3, no 3, 105-112 p.Article in journal (Refereed) Published
Abstract [en]

The ever increasing spurt in digital crimes such as image manipulation, image tampering, signature forgery, image forgery, illegal transaction, etc. have hard pressed the demand to combat these forms of criminal activities. In this direction, biometrics - the computer-based validation of a persons' identity is becoming more and more essential particularly for high security systems. The essence of biometrics is the measurement of person’s physiological or behavioral characteristics, it enables authentication of a person’s identity. Biometric-based authentication is also becoming increasingly important in computer-based applications because the amount of sensitive data stored in such systems is growing. The new demands of biometric systems are robustness, high recognition rates, capability to handle imprecision, uncertainties of non-statistical kind and magnanimous flexibility. It is exactly here that, the role of soft computing techniques comes to play. The main aim of this write-up is to present a pragmatic view on applications of soft computing techniques in biometrics and to analyze its impact. It is found that soft computing has already made inroads in terms of individual methods or in combination. Applications of varieties of neural networks top the list followed by fuzzy logic and evolutionary algorithms. In a nutshell, the soft computing paradigms are used for biometric tasks such as feature extraction, dimensionality reduction, pattern identification, pattern mapping and the like.

Place, publisher, year, edition, pages
USA: Scientific & Academic Publishing Co. , 2013. Vol. 3, no 3, 105-112 p.
National Category
Engineering and Technology
Research subject
Complex Systems – Microdata Analysis
URN: urn:nbn:se:du-13322OAI: diva2:667589
Available from: 2013-11-27 Created: 2013-11-27 Last updated: 2016-10-12Bibliographically approved

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Fleyeh, Hasan
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