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Titlebook: Signal and Image Processing for Biometrics; Jacob Scharcanski,Hugo Proença,Eliza Du Book 2014 Springer-Verlag Berlin Heidelberg 2014 Biome

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楼主: Philanthropist
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Recognizing Altered Facial Appearances Due to Aging and Disguise,Gabor transform is used to extract binary phase information from each of the face granules. Finally, likelihood ratio test statistics based support vector machine classification approach is used to classify the granular information. The proposed algorithm is evaluated on multiple databases comprisin
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Unconstrained Ear Processing: What is Possible and What Must Be Done,ch higher robustness. Notwithstanding the mentioned limits, ear is still an attractive topic for biometrics research, due to other positive aspects. In particular, it is quite easy to acquire ear images remotely, and these anatomic features are also relatively stable in size and structure along time
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Quality Induced Multiclassifier Fingerprint Verification Using Extended Feature Set, registers the gallery and probe fingerprint images using a two-stage registration process. Then, a fast Mumford-Shah curve evolution algorithm is used to extract four level-3 features namely, pores, ridge contours, dots, and incipient ridges. Gallery and probe features are matched using Mahalanobis
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Data and Information Dimensionality in Non-cooperative Face Recognition,large amounts of data often have dimensionality issues, leading to uncertainty and inefficiency. This chapter presents concepts of manifold learning and information geometry, and discusses how the manifold geometry can be exploited to obtain biometric data representations in lower dimensions. It is
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Biometric Identification from Facial Sketches of Poor Reliability: Comparison of Human and Machine ven by a eyewitness of some illegal act. It is a topic of growing interest, and various software frameworks to synthesize sketches are available nowadays. When compared to the traditional hand-made sketches, such sketches resemble more closely the appearance of real mugshots, and led to the possibil
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Recognizing Altered Facial Appearances Due to Aging and Disguise, algorithm registers the gallery and probe face images and minimizes the variations in facial features caused due to aging. Further, gallery and probe face images are decomposed at different levels of granularity to extract non-disjoint spatial features. At the first level, face granules are generat
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