Call for Book Chapter
Title: "Hidden Biometrics: when biometrics meets biomedical engineering", Publisher Springer
Chapter submission deadline: October, 2018.
Scope: Biometrics is commonly used to recognize individuals by their physical or behavioral characteristics. From the literature, one can point out that most of the publications are devoted to some main identification or verification modalities, such as: fingerprint, palm-print, face, iris, voice, etc. These biometric security modalities are universal, easily collectable and widely acceptable. Consequently, they have been efficiently embedded in numerous systems and devices, including mobile platforms. In this book, the purpose is to deal with a different biometric category, called Hidden Biometrics. Unlike the common biometrics, Hidden biometrics explores intrinsic and human body parts or their physiological activities, invisible to the naked eye. For instance, this may concern brain structures, heart activity, skeleton morphology,...etc. These human body parts can be visualized only by some specific imaging techniques, or using some specific sensors, employed basically in the biomedical engineering field. Therefore, the major objective of this book is to connect two fields, namely biometric security and biomedical engineering.
The content of this book is suitable for final-year undergraduate students, postgraduate students, engineers and researchers in the field of Computer-engineering, Computer graphics, Biometrics, Biomedical engineering and more specifically applied Digital Signal and Image processing.
Keywords: Biometric security, Biomedical engineering, Hidden biometrics.
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Chapter 1: Biometric security: a review
Chapter 2: Individual verification using ECG
Chapter 3: EEG signal analysis for biometric applications
Chapter 4: EMG signal as bio-signature
Chapter 5: Human identification using X-ray images
Chapter 6: Brain biometrics
Chapter 7: Eye movement analysis in Biometrics
Chapter 8: Vein image analysis
Chapter 9: Retinal image processing in Biometrics
Chapter 10: Multispectral biometric modalities
Chapter 11: Dental biometrics
Note: your chapter title can be the same as proposed in the table of contents, otherwise you can suggest another one within the scope of this book.
Prof. Amine NAIT-ALI,
Université Paris-Est Créteil (UPEC)
Laboratoire Images, Signaux et Systèmes Intelligents (LISSI, EA 3956)
122 rue Paul Armangot, 94400 Vitry sur Seine