Biometrics is a rapidly evolving field with applications ranging from accessing one’s computer to gaining entry into a country. The deployment of large-scale biometric systems in both commercial and government applications has increased public awareness of this technology. Recent years have seen significant growth in biometric research resulting in the development of innovative sensors, new algorithms, enhanced test methodologies and novel applications. This book addresses this void by inviting some of the prominent researchers in Biometrics to contribute chapters describing the fundamentals as well as the latest innovations in their respective areas of expertise.
Handbook of Biometrics
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Biometric recognition, or simply biometrics, is a rapidly evolving field with applications ranging from accessing one's computer, to gaining entry into a country. Biometric systems rely on the use of physical or behavioral traits, such as fingerprints, face, voice and hand geometry, to establish the identity of an individual. The deployment of large-scale biometric systems in both commercial (e.g., grocery stores, amusement parks, airports) and government (e.g., US-VISIT) applications, increases the public's awareness of this technology. This rapid growth also highlights the challenges associated with designing and deploying biometric systems. Indeed, the problem of biometric recognition is a grand challenge in its own right. The past five years have seen a significant growth in biometric research resulting in the development of innovative sensors, robust and efficient algorithms for feature extraction and matching, enhanced test methodologies and novel applications. These advances have resulted in robust, accurate, secure and cost effective biometric systems. The Handbook of Biometrics -- an edited volume by prominent invited researchers in biometrics -- describes the fundamentals as well as the latest advancements in the burgeoning field of biometrics. It is designed for professionals, practitioners and researchers in biometrics, pattern recognition and computer security. The Handbook of Biometrics can be used as a primary textbook for an undergraduate biometrics class. This book is also suitable as a secondary textbook or reference for advanced-level students in computer science.
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great book!,
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This review is from: Handbook of Biometrics (Hardcover)
Book with great content! A lot of references and has a very good introductory chapter. Just buy it and enjoy =D
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Key Phrases - Statistically Improbable Phrases (SIPs):
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biometric system security, false match rates, fingerprint technology, digital rights management, electronic fingerprint transmission specification, fusion code, local surface patch, conformance test, dynamic time warping, elastic bunch graph matching, active appearance models, palmprint authentication system, biometric encryption systems, biometric data block, jth matcher, good quality fingerprint image, soft biometric traits, gait challenge dataset, biometric identification information, generic training set, spoof detection, palmprint images, revocable biometrics, dental atlas, iris image data Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, Pattern Recognition, New York, Arun Ross, Karthik Nandakumar, United States, Commercial Sector, Technical Report, Supreme Court, Jingu Heo, Vijaya Kumar, Computer Society Conference, Computer Vision, Andy Adler, Hong Kong, Video-based Biometric Person Authentication, Notre Dame, Central Iris Repository, Valerio Aimale, Signal Processing, Spoof Detection Schemes, Special Database, Marios Savvides, Sung Won Park, Privacy Act Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
biometric system security, false match rates, fingerprint technology, digital rights management, electronic fingerprint transmission specification, fusion code, local surface patch, conformance test, dynamic time warping, elastic bunch graph matching, active appearance models, palmprint authentication system, biometric encryption systems, biometric data block, jth matcher, good quality fingerprint image, soft biometric traits, gait challenge dataset, biometric identification information, generic training set, spoof detection, palmprint images, revocable biometrics, dental atlas, iris image data Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, Pattern Recognition, New York, Arun Ross, Karthik Nandakumar, United States, Commercial Sector, Technical Report, Supreme Court, Jingu Heo, Vijaya Kumar, Computer Society Conference, Computer Vision, Andy Adler, Hong Kong, Video-based Biometric Person Authentication, Notre Dame, Central Iris Repository, Valerio Aimale, Signal Processing, Spoof Detection Schemes, Special Database, Marios Savvides, Sung Won Park, Privacy Act Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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