.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
Cross Disciplinary Biometric Systems
Liu, Chengjun; Mago, Vijay Kumar
€ 194.58
FREE Delivery in Ireland
Description for Cross Disciplinary Biometric Systems
Hardback. This book spans current progress in biometric systems including face recognition, fingerprint recognition, iris recognition and image search systems, connecting them to each other and to progress in color and pattern analysis, mathematics and computer science. Series: Intelligent Systems Reference Library. Num Pages: 244 pages, biography. BIC Classification: UYQP; UYQV. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 531.
Cross disciplinary biometric systems help boost the performance of the conventional systems. Not only is the recognition accuracy significantly improved, but also the robustness of the systems is greatly enhanced in the challenging environments, such as varying illumination conditions. By leveraging the cross disciplinary technologies, face recognition systems, fingerprint recognition systems, iris recognition systems, as well as image search systems all benefit in terms of recognition performance. Take face recognition for an example, which is not only the most natural way human beings recognize the identity of each other, but also the least privacy-intrusive means because people show their face ... Read more
Cross disciplinary biometric systems help boost the performance of the conventional systems. Not only is the recognition accuracy significantly improved, but also the robustness of the systems is greatly enhanced in the challenging environments, such as varying illumination conditions. By leveraging the cross disciplinary technologies, face recognition systems, fingerprint recognition systems, iris recognition systems, as well as image search systems all benefit in terms of recognition performance. Take face recognition for an example, which is not only the most natural way human beings recognize the identity of each other, but also the least privacy-intrusive means because people show their face ... Read more
Product Details
Format
Hardback
Publication date
2012
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
244
Condition
New
Series
Intelligent Systems Reference Library
Number of Pages
228
Place of Publication
Berlin, Germany
ISBN
9783642284564
SKU
V9783642284564
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Cross Disciplinary Biometric Systems