The Science of Biometrics Security Technology for Identity Verification
Auteur : Das Ravindra
The Science of Biometrics: Security Technology for Identity Verification covers the technical aspects of iris and facial recognition, focusing primarily on the mathematical and statistical algorithms that run the verification and identification processes in these two modalities.
Each chapter begins with a review of the technologies, examining how they work, their advantages and disadvantages, as well as some of their established market applications. Numerous approaches are examined. Facial recognition is much more of an emerging biometric technology than iris recognition; therefore, there are more algorithms that are currently being developed in that area. After this review, numerous applications of these two modalities are covered as well, some of which have just been commercially deployed while others are under research and development. Chapters 3 and 4 conclude with case studies to provide further application review.
This book is directed to security managers, electronic security system designers, consultants, and system integrators, as well as electronic security system manufacturers working in access control and biometrics.
1. Introduction 2. Review of Biometrics 3. Iris Recognition 4. Facial Recognition 5. Final Conclusions
Ravindra Das is a technical writer for BN.Net, Inc., a leading technical communications company based in Chicago, IL. He has written two books, as well as the online course content for numerous certification exams. He has been published extensively worldwide, and holds an MBA in Management Information Systems from Bowling Green State University.
Date de parution : 07-2018
15.2x22.9 cm
Date de parution : 07-2018
15.2x22.9 cm
Thèmes de The Science of Biometrics :
Mots-clés :
Verification Templates; identification; Biometric Template; fingerprint recognition; Iris Recognition; facial recognition; Biometric System; software code; Biometric Modalities; integration; Biometric Technology; Java Scripting; Hand Geometry Recognition; Vein Pattern Recognition; Facial Recognition Technology; Physical Biometrics; Fingerprint Recognition Device; Gabor Wavelet; Behavioral Biometrics; Fuzzy Neural Networks; Hand Geometry Scanner; Iris Recognition System; Retinal Recognition; Physical Access Entry; Facial Recognition System; John Daugman; NIR Light; Enrollment Templates; Asymmetric Cryptography; Biometric Devices