04482nam 22006735 450 991025419960332120200705071645.03-319-22485-910.1007/978-3-319-22485-5(CKB)3710000000476880(EBL)4178490(SSID)ssj0001584689(PQKBManifestationID)16265127(PQKBTitleCode)TC0001584689(PQKBWorkID)14866172(PQKB)11334964(DE-He213)978-3-319-22485-5(MiAaPQ)EBC4178490(PPN)190520124(EXLCZ)99371000000047688020150914d2016 u| 0engur|n|---|||||txtccrMultispectral Biometrics Systems and Applications /by David Zhang, Zhenhua Guo, Yazhuo Gong1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (232 p.)Description based upon print version of record.3-319-22484-0 Includes bibliographical references at the end of each chapters and index.Multimodal Fusion for Robust Identity Authentication: Role of Liveness Checks -- Multimodal Biometric Person Recognition System Based on Multi-Spectral Palmprint Features Using Fusion of Wavelet Representations -- Audio-Visual Biometrics and Forgery -- Face and ECG Based Multi-Modal Biometric Authentication -- Biometrical Fusion – Input Statistical Distribution -- Normalization of Infrared Facial Images under Variant Ambient Temperatures -- Use of Spectral Biometrics for Aliveness Detection -- A Contactless Biometric System Using Palm Print and Palm Vein Features -- Liveness Detection in Biometrics -- Fingerprint Recognition -- A Gender Detection Approach -- Improving Iris Recognition Performance Using Quality Measures -- Application of LCS Algorithm to Authenticate Users within Their Mobile Phone Through In-Air Signatures -- Performance Comparison of Principal Component Analysis-Based Face Recognition in Color Space -- Block Coding Schemes Designed for Biometric Authentication -- Perceived Age Estimation from Face Images -- Cell Biometrics Based on Bio-Impedance Measurements -- Hand Biometrics in Mobile Dices.Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a number of efficient feature extraction, matching and fusion algorithms and how potential systems have been developed. Focusing on how to develop new biometric technologies based on the requirements of applications, and how to design efficient algorithms to deliver better performance, the work is based on the author’s research with experimental results under different challenging conditions described in the text. The book offers a valuable resource for researchers, professionals and postgraduate students working in the fields of computer vision, pattern recognition, biometrics, and security applications, amongst others.Signal processingImage processingSpeech processing systemsBiometrics (Biology)Biomedical engineeringSignal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Biometricshttps://scigraph.springernature.com/ontologies/product-market-codes/I22040Biomedical Engineering and Bioengineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T2700XSignal processing.Image processing.Speech processing systems.Biometrics (Biology).Biomedical engineering.Signal, Image and Speech Processing.Biometrics.Biomedical Engineering and Bioengineering.620Zhang Davidauthttp://id.loc.gov/vocabulary/relators/aut763056Guo Zhenhuaauthttp://id.loc.gov/vocabulary/relators/autGong Yazhuoauthttp://id.loc.gov/vocabulary/relators/autBOOK9910254199603321Multispectral Biometrics2505231UNINA