Handbook of Multibiometrics (International Series on Biometrics) - Info and Reading Options
By Arun A. Ross
"Handbook of Multibiometrics (International Series on Biometrics)" is published by Springer in May 24, 2006, it has 202 pages and the language of the book is English.
“Handbook of Multibiometrics (International Series on Biometrics)” Metadata:
- Title: ➤ Handbook of Multibiometrics (International Series on Biometrics)
- Author: Arun A. Ross
- Language: English
- Number of Pages: 202
- Publisher: Springer
- Publish Date: May 24, 2006
“Handbook of Multibiometrics (International Series on Biometrics)” Subjects and Themes:
- Subjects: ➤ Biometric identification - Biometry - Computer science - Data structures (Computer science) - Data encryption (Computer science) - Multimedia systems - Computer vision - Optical pattern recognition - Pattern Recognition - Image Processing and Computer Vision - Data Encryption - Cryptology and Information Theory Data Structures - Multimedia Information Systems - Computer Imaging, Vision, Pattern Recognition and Graphics
Edition Identifiers:
- The Open Library ID: OL7444415M - OL16947653W
- Library of Congress Control Number (LCCN): 2006923240
- ISBN-13: 9780387222967
- ISBN-10: 0387222960
- All ISBNs: 0387222960 - 9780387222967
AI-generated Review of “Handbook of Multibiometrics (International Series on Biometrics)”:
"Handbook of Multibiometrics (International Series on Biometrics)" Description:
The Open Library:
Reliable human authentication schemes are of paramount importance in our highly networked society. Advances in the field of biometrics help address the myriad of problems associated with traditional human recognition methods. The performance and benefits of a biometric system can be significantly enhanced by consolidating the evidence presented by multiple biometric sources. Multibiometric systems are expected to meet the stringent performance requirements imposed by large-scale authentication systems. Handbook of Multibiometrics, a professional book, introduces multibiometric systems, and demonstrates the noteworthy advantages of these systems over their unimodal counterparts. In addition, this book describes in detail the various scenarios that are possible when fusing biometric evidence from multiple information sources. This comprehensive volume on multibiometric systems concisely and clearly outlines the different fusion methodologies that have been proposed by researchers to integrate multiple biometric traits. Handbook of Multibiometrics is designed for a professional audience, composed of researchers and practitioners in the industry. This book is also suitable for graduate-level students as a secondary text in computer science within advanced biometrics.
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