Download Biometrics and Kansei Engineering by Khalid Saeed (auth.), Khalid Saeed, Tomomasa Nagashima PDF

By Khalid Saeed (auth.), Khalid Saeed, Tomomasa Nagashima (eds.)

Biometrics and Kansei Engineering is the 1st booklet to collect the foundations and functions of every self-discipline. the way forward for biometrics is wanting new applied sciences that may rely on people’s feelings and the prediction in their goal to take an motion. Behavioral biometrics experiences the way in which humans stroll, speak, and show their feelings, and Kansei Engineering specializes in interactions among clients, products/services and product psychology. they're turning into relatively complementary.

This booklet additionally introduces biometric functions in the environment, which additional illustrates the shut dating among Biometrics and Kansei Engineering. Examples and case reviews are supplied all through this ebook.

Biometrics and Kansei Engineering is designed as a reference publication for execs operating in those similar fields. Advanced-level scholars and researchers learning laptop technology and engineering will locate this ebook valuable as a reference or secondary textual content e-book besides.

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Saeed K, Tabedzki M, Rybnik M, Adamski M (2012) Biometrics image thinner. Accepted for patent in South Korea Chapter 2 Face Recognition in Unconstrained Environment Przemysław Kocjan and Khalid Saeed Abstract This chapter addresses the problem of face recognition from images with lighting problems such as shadows or brightness level. Authors describe face recognition processing, including major components such as face detection, tracking, alignment, and feature extraction. Technical challenges of building a face recognition system are pointed out.

Face recognition has an important advantage over many other biometric technologies – it is a nonintrusive, noninvasive, and easy-to-use method. Because of this, it became one of three identification methods used in e-passports and the biometric of choice for many other security applications. Hietmeyer [1] considered six biometric attributes. From all of them, face scored the highest compatibility in a Machine Readable Travel Documents (MRTD) [2]. A face recognition system is expected to identify faces in images and videos automatically.

In: Proceedings of IEEE international conference automatic face and gesture recognition, Killington, USA, pp 301–306 39. Atick JJ, Griffin PA, Redlich AN (1996) Statistical approach to shape from shading: reconstruction of 3Dface surfaces from single 2Dimages. Neural Comput 8(6):1321–1340 40. Yan Y, Zhang J (1998) Rotation-invariant 3D recognition for face recognition. In: Proceedings of IEEE international conference image processing, Prague, Czech, vol 1, pp 156–160 41. Zhao WY, Chellappa R (2000) 3D model enhanced face recognition.

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