Efficient bimodal authentication algorithms using iris and face biometric traits

Abstract

newline Biometrics is the science of extracting feature information of newlinehuman body parts and human behaviour to recognize an individual. The modern biometrics presents a challenging task of authentication of a person for the variation of intensities, angles and physical changes with time in the biometric traits. Chapter one presents the introduction to Biometrics. The block diagram of biometric system newlinewhich has enrolment section, test section and match section is explained. The feature extraction based on spatial domain and transform domain is discussed. The definition of performance parameters, applications of biometrics, motivation and objectives arediscussed.The literature survey on Iris and face recognition based on newlinedifferent existing techniques is discussed in chapter two. The spatial newlinedomain and transform domain feature extraction techniques are described. The various existing matchingtechniques are also newlinediscussed.The chapter three presents an algorithm of Iris recognition newlineusing fusion of Empirical Mode decomposition (EMD) and Fast Fourier Transform (FFT). The eye Images are preprocessed using fusion of circular Hough Transform to extract circular iris part and converted into rubber sheet model using normalisation. The Region Of Interest (ROI) is fixed on rectangular iris part based on