Fingerprint Compression using Sparse Representation
نویسندگان
چکیده
منابع مشابه
Sparse Representation based Fingerprint Compression
Recognition of people by means of their biometric characteristics is very popular among the society. There are various biometric techniques including fingerprint recognition, face recognition and eye detection that are used for the privacy and security purposes in different applications. Among all these techniques, fingerprint recognition has gain more popularity for personal identification due...
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with Φ ∈ RN×M , M ≥ N , and some noise . The challenge is to determine the sparsest representation of reconstruction coefficients w = [w1, . . . , wM ] . Finding a sparse representation of a signal in an overcomplete dictionary is equivalent to solving a regularized linear inverse. For a given dictionary Φ, finding the maximally sparse w is an NP-hard problem [1]. A great deal of recent researc...
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Novel Approach for Fingerprint Recognition Using Sparse Representation Rohit Thanki PhD Research Scholar, Faculty of Technology & Engineering, C U Shah University, Wadhwan City Email: [email protected] Komal Borisagar Assistant Professor, Department of Electronics & Communication, Atmiya Institute of Technology & Science, Rajkot Email: [email protected] ------------------------------...
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Large volumes of fingerprints are collected and stored every day in a wide range of applications, including forensics, access control etc. It is evident from the database of Federal Bureau of Investigation (FBI) which contains more than 70 million finger prints. Compression of this database is very important because of this high Volume. The performance of existing image coding standards general...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2017
ISSN: 0975-8887
DOI: 10.5120/ijca2017915908