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—A wide variety of systems requires reliable personal recognition schemes to either confirm or determine the identity of an individual requesting their services. The purpose of such schemes is to ensure that the rendered services are accessed only by a legitimate user and no one else. Examples of such applications include secure access to buildings,(More)
With identity fraud in our society reaching unprecedented proportions and with an increasing emphasis on the emerging automatic personal identification applications, biometrics-based verification, especially fingerprint-based identification, is receiving a lot of attention. There are two major shortcomings of the traditional approaches to fingerprint(More)
—Fingerprint classification provides an important indexing mechanism in a fingerprint database. An accurate and consistent classification can greatly reduce fingerprint matching time for a large database. We present a fingerprint classification algorithm which is able to achieve an accuracy better than previously reported in the literature. We classify(More)
Contributed Paper In traditional cryptosystems, user authentication is based on possession of secret keys, which falls apart if the keys are not kept secret (i.e., shared with nonlegitimate users). Further, keys can be forgotten, lost, or stolen and, thus, cannot provide nonre-pudiation. Current authentication systems based on physiological and behavioral(More)
Integration of various ®ngerprint matching algorithms is a viable method to improve the performance of a ®nger-print veri®cation system. Di€erent ®ngerprint matching algorithms are often based on di€erent representations of the input ®ngerprints and hence complement each other. We use the logistic transform to integrate the output scores from three di€erent(More)
Reliable and accurate veriÿcation of people is extremely important in a number of business transactions as well as access to privileged information. Automatic veriÿcation methods based on physical biometric characteristics such as ÿngerprint or iris can provide positive veriÿcation with a very high accuracy. However, the biometrics-based methods assume that(More)
High-level (semantic) image classification can be achieved by analysis of low-level image attributes geared for the particular classes. In this paper, we have proposed a novel application of the known image processing and classification techniques to achieve such a high-level classification of color images. Our image classification algorithm uses three(More)