Titlebook: Handbook of Fingerprint Recognition; Davide Maltoni,Dario Maio,Salil Prabhakar Book 20092nd edition The Editor(s) (if applicable) and The

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书目名称Handbook of Fingerprint Recognition影响因子(影响力)




书目名称Handbook of Fingerprint Recognition影响因子(影响力)学科排名




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书目名称Handbook of Fingerprint Recognition网络公开度学科排名




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书目名称Handbook of Fingerprint Recognition被引频次学科排名




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书目名称Handbook of Fingerprint Recognition年度引用学科排名




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书目名称Handbook of Fingerprint Recognition读者反馈学科排名

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Fingerprint Analysis and Representation,s a pattern of interleaved . and . (Ashbaugh, 1999); in a fingerprint image, ridges (also called ridge lines) are dark whereas valleys are bright (see Figure 3.1). Ridges vary in width from 100 μm, for very thin ridges, to 300 μm for thick ridges. Generally, the period of a ridge/valley cycle is abo

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Fingerprint Matching,n 0 and 1) or a binary decision (mated/non-mated). Only a few matching algorithms operate directly on grayscale fingerprint images; most of them require that an intermediate fingerprint representation be derived through a feature extraction stage (refer to Chapter 3). Without loss of generality, her

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Fingerprint Classification and Indexing,, several million fingerprints) in many forensic and civilian applications. In such cases, the identification typically has an unacceptably long response time. The identification process can be speeded up by reducing the number of comparisons that are required to be performed. Sometimes, information

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Biometric Fusion,t systems. This topic is also known as multibiometrics or multimodal biometrics. Biometric fusion is a very important topic that has already been in use in law enforcement for some time (e.g., fusion of 10 rolled fingerprints in AFIS), but the challenge is to determine which information sources to c

Arteriography

Fingerprint Individuality,oms. Among the various sources of evidence, fingerprints have been used in courts of law for almost 100 years and the testimony based on fingerprints carries substantial credibility and weight. The use of fingerprint evidence involves comparing salient features of a latent print lifted from a crime

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Securing Fingerprint Systems,ility is equipped with the strongest possible lock, it is still possible to break into the facility. For example, instead of trying to break the lock, a burglar may break the door, make a big hole in the wall, smash windows, or rob the owner at gunpoint to gain entry. Thus a stronger lock does not n

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