Intelligent watermarking for streams of grayscale facial images

ISBN-13: 9783659796616 / Angielski / Miękka / 2015 / 164 str.

Guendy Bassem

Opis

Facial captures are widely used in many access control applications to authenticate individuals, and grant access to protected information and locations. For instance, in passport or smart card applications, many facial images must be secured during the enrollment process, prior to exchange and storage. Digital watermarking may be used to assure integrity and authenticity of these facial images against unauthorized manipulations, through fragile and robust water marking, respectively. It can also combine other biometric traits to be embedded as invisible watermarks in these facial captures to improve individual verification. Evolutionary Computation (EC) techniques have been proposed to optimize watermark embedding parameters in Intelligent Watermarking (IW) literature. The goal of such optimization problem is to find the trade-off between conflicting objectives of watermark quality and robustness. Securing streams of high-resolution biometric facial captures results in a large number of optimization problems of high dimension search space.

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O autorze

Bassem S. Rabil Guendy received his B.Sc. and M.Sc degrees in Computer Engineering in 1998 and 2007 respectively from Ain Shams University, Cairo, Egypt. He obtained his Ph.D degree in machine learning in 2013 from Ecole de Technologie Superieure, Montreal, Canada. He held different Research and Development positions in Mentor Graphics and Ericsson