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The increase in twin births has created a requirement for biometric systems to accurately determine the identity of a person who has an identical twin. The discriminability of some of the identical twin biometric traits, such as fingerprints, iris, and palmprints, is supported by anatomy and the formation process of the biometric characteristic, which state(More)
This chapter reviews and discusses various aspects of texture analysis. The concentration is on the various methods of extracting textural features from images. The geometric, random field, fractal, and signal processing models of texture are presented. The major classes of texture processing problems such as segmentation, classification, and shape from(More)
— Template security is a critical issue in biometric systems because biometric templates cannot be easily revoked and reissued. While multibiometric systems overcome limitations such as non-universality and high error rates that affect unibiometric systems, they require storage of multiple templates for the same user. Securing the different templates of a(More)
Biometrics is rapidly gaining acceptance as the technology that can meet the ever increasing need for security in critical applications. Biometric systems automatically recognize individuals based on their physiological and behavioral characteristics. Hence, the fundamental requirement of any biometric recognition system is a human trait having several(More)
Fingerprints are traditionally captured based on contact of the finger on paper or a platen surface. This often results in partial or degraded images due to improper finger placement, skin deformation, slippage and smearing, or sensor noise from wear and tear of surface coatings. A new generation of touchless live scan devices that generate 3D(More)
Crowdsourcing utilizes human ability by distributing tasks to a large number of workers. It is especially suitable for solving data clustering problems because it provides a way to obtain a similarity measure between objects based on manual annotations , which capture the human perception of similarity among objects. This is in contrast to most clustering(More)
The evidential value of palmprints in law enforcement is clear from the following statistic: 25% of all crime scenes contain only latent palmprints [1] and 30% of the latents recovered from crime scenes are of palms [2]. In forensic applications, the palmprint image resolution is 500 pixels per inch (ppi) [5] and the matching is based on friction ridges,(More)
We examine the performance of multimodal biometric authentication systems using state-of-the-art Commercial Off-the-Shelf (COTS) fingerprint and face biometrics on a population approaching 1000 individuals. Prior studies of multimodal biometrics have been limited to relatively low accuracy non-COTS systems and populations approximately 10% of this size. Our(More)
Human facial images provide the demographic information, such as ethnicity and gender. Conversely, ethnicity and gender also play an important role in face-related applications. Image-based ethnicity identification problem is addressed in a machine learning framework. The Linear Discriminant Analysis (LDA) based scheme is presented for the two-class (Asian(More)
Biometrics-based authentication has the potential to eliminate illegal key exchange problem associated with traditional cryptosystems. In this paper, we explore the utilization of a fingerprint minutiae line based representation scheme in a new cryptographic construct called fuzzy vault. Minutiae variability is quantified for a fingerprint database marked(More)