{"product_id":"9781402076510","title":"Computational Algorithms for Fingerprint Recognition","description":"\u003ch1\u003eComputational Algorithms for Fingerprint Recognition\u003c\/h1\u003e \u003ch2\u003eBhanu, Bir; Tan, Xuejun\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eBiometrics such as fingerprint, face, gait, iris, voice and signature, recognizes one's identity using his\/her physiological or behavioral characteristics. Among these biometric signs, fingerprint has been researched the longest period of time, and shows the most promising future in real-world applications. However, because of the complex distortions among the different impressions of the same finger, fingerprint recognition is still a challenging problem. \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eComputational Algorithms for Fingerprint Recognition\u003c\/strong\u003e presents an entire range of novel computational algorithms for fingerprint recognition. These include feature extraction, indexing, matching, classification, and performance prediction\/validation methods, which have been compared with state-of-art algorithms and found to be effective and efficient on real-world data. All the algorithms have been evaluated on NIST-4 database from National Institute of Standards and Technology (NIST). Specific algorithms addressed include:\u003cbr\u003e-Learned template based minutiae extraction algorithm, \u003cbr\u003e-Triplets of minutiae based fingerprint indexing algorithm, \u003cbr\u003e-Genetic algorithm based fingerprint matching algorithm, \u003cbr\u003e-Genetic programming based feature learning algorithm for fingerprint classification, \u003cbr\u003e-Comparison of classification and indexing based approaches for identification, \u003cbr\u003e-Fundamental fingerprint matching performance prediction analysis and its validation.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eComputational Algorithms for Fingerprint Recognition\u003c\/strong\u003e is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering. \u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2003-11-30\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9781402076510\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4615-0491-7\u003c\/p\u003e \u003cp\u003eDimensions: 235.0cm x155.0cm\u003c\/p\u003e \u003cp\u003ePages: 191.0\u003c\/p\u003e ","brand":"Springer US","offers":[{"title":"Default Title","offer_id":45578566926476,"sku":"9781402076510","price":98.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781402076510.jpg?v=1767154344","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781402076510","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}