publication . Article . 2016

A SCHEME FOR TEMPLATE SECURITY AT FEATURE FUSION LEVEL IN MULTIMODAL BIOMETRIC SYSTEM

Arvind Selwal; Sunil Kumar Gupta; Surender Kumar;
Open Access English
  • Published: 01 Sep 2016 Journal: Advances in Science and Technology Research Journal, volume 10, issue 31, pages 23-30 (issn: 2080-4075, eissn: 2299-8624, Copyright policy)
  • Publisher: Society of Polish Mechanical Engineers and Technicians
Abstract
Biometric is the science of human recognition based upon using their biological, chemical or behavioural traits. These systems are used in many real life applications simply from biometric based attendance system to providing security at very sophisticated level. A biometric system deals with raw data captured using a sensor and feature template extracted from raw image. One of the challenges being faced by designers of these systems is to secure template data extracted from the biometric modalities of the user and protect the raw images. To minimize spoof attacks on biometric systems by unauthorised users one of the solutions is to use multi-biometric systems. ...
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free text keywords: feature template, biometric data, feature vectors, multimodal biometrics, fuzzy sets, database, feature fusion, lcsh:Technology, lcsh:T, lcsh:Environmental technology. Sanitary engineering, lcsh:TD1-1066, lcsh:Mechanical engineering and machinery, lcsh:TJ1-1570, lcsh:Engineering (General). Civil engineering (General), lcsh:TA1-2040, lcsh:Manufactures, lcsh:TS1-2301, Computer vision, Artificial intelligence, business.industry, business, Template security, Feature (computer vision), Pattern recognition, Fuzzy set, Feature vector, Computer science
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