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Compressive Sensing for Biometric System
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Author(s): Rohit M. Thanki (C. U. Shah University, India)and Komal R. Borisagar (Atmiya Institute of Technology and Science, India)
Copyright: 2017
Pages: 26
Source title:
Intelligent Analysis of Multimedia Information
Source Author(s)/Editor(s): Siddhartha Bhattacharyya (RCC Institute of Information Technology, India), Hrishikesh Bhaumik (RCC Institute of Information Technology, India), Sourav De (The University of Burdwan, India)and Goran Klepac (University College for Applied Computer Engineering Algebra, Croatia & Raiffeisenbank Austria, Croatia)
DOI: 10.4018/978-1-5225-0498-6.ch014
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Abstract
Biometric system is used by many institution, organization and industry for automatic recognition of person. One of the main reason for popularity of used for biometric system is that the ability of the system to identify between an authorized person and unauthorized person. There are many challenges associated with the biometric system such as designing of human recognition algorithm, compression of biometric templates, privacy and security of biometric templates in biometric systems. This chapter gives an application of Compressive Sensing (CS) theory for solutions of the above mentioned challenges in biometric systems. Recent research and trends in a biometric system indicated that many challenging of biometric system problems are being solved using Compressive Sensing (CS) theory and sparse representation algorithms. This chapter gives an overview of sparsity property of various image transforms and application of compressive sensing and sparse representation with regards to biometric image compression, biometric image recognition and biometric image protection.
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