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Advances in biometrics for secure human authentication and recognition /

"Preface The uniqueness of the physiological and behavioral characteristics of human beings is used to facilitate the identification or verification process, and it always results in correct classification. However, the distinctive evidences obtained from an individual do not guarantee a 100% m...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Kisku, Dakshina Ranjan, Gupta, Phalguni, Sing, Jamuna Kanta
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : Taylor & Francis, [2014]
Temas:
Acceso en línea:Texto completo

MARC

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020 |z 9781466582422 (hardback) 
020 |a 9781466582439 (e-book) 
035 |a (OCoLC)872667391 
040 |a FINmELB  |b eng  |e rda  |c FINmELB 
050 4 |a TK7882.B56  |b A378 2013 
082 0 |a 006.4  |2 23 
245 0 0 |a Advances in biometrics for secure human authentication and recognition /  |c edited by Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kanta Sing. 
264 1 |a Boca Raton :  |b Taylor & Francis,  |c [2014] 
264 4 |c Ã2014 
300 |a 1 online resource (340 pages) :  |b illustrations 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
504 |a Includes bibliographical references. 
505 0 |a part I. General biometrics -- part II. Advanced topics in biometrics -- part III. Case studies and large scale biometric systems. 
520 |a "Preface The uniqueness of the physiological and behavioral characteristics of human beings is used to facilitate the identification or verification process, and it always results in correct classification. However, the distinctive evidences obtained from an individual do not guarantee a 100% matching to be performed to the biometric characteristics corresponding to another subject, even after considering all aspects of accurate recognition process. Tampered sensors, distorted evidences, recognition at a distance, and sometimes, motion of the target subject cause identification process to be a weak one. Moreover, picking up the right algorithms for image enhancement, feature extraction, matching, classification, and decision in a biometric system are critical. Most of the commercial, off-the-shelf biometrics systems together cannot deal with all the intrinsic perspectives that could easily make the system unstable. Therefore, to cope with this problem, we should consider standard biometrics properties and algorithmic paradigms for the identification or verification of human beings. Hence, experiments of biometric systems at large with various biometrics traits could be a good approach to identify the right and secured human recognition system. This book is a collection of biometrics solutions, which include both unimodal and multimodal biometrics. Also, this book has included up-to-date biometrics algorithms with novel feature"--  |c Provided by publisher. 
588 |a Description based on metadata supplied by the publisher and other sources. 
590 |a Electronic reproduction. Santa Fe, Arg.: elibro, 2020. Available via World Wide Web. Access may be limited to eLibro affiliated libraries. 
650 0 |a Biometric identification. 
655 4 |a Electronic books. 
700 1 |a Kisku, Dakshina Ranjan. 
700 1 |a Gupta, Phalguni. 
700 1 |a Sing, Jamuna Kanta. 
797 2 |a elibro, Corp. 
856 4 0 |u https://elibro.uam.elogim.com/ereader/bidiuam/145388  |z Texto completo 
950 |a eLibro English