Applying Multifractal Spectrum Theory to Fingerprint Features Recognition
نویسندگان
چکیده
منابع مشابه
Applying Multifractal Spectrum Theory to Fingerprint Features Recognition
Fingerprint features recognition which can be used to distinguish between individuals is an intriguing study with many potential applications. In this paper, a new method for fingerprint recognition based on multifractal spectrum theory was proposed. The recognition process can be divided into the following main steps: (1) Extracting the core point in fingerprint; (2) Fragmenting the fingerprin...
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Automatic fingerprint identification systems (AFIS) provide widely used biometric techniques for personal identification. Fingerprints have the properties of distinctiveness or individuality, and the fingerprints of a particular person remain almost the same (persistence) over time. These properties make fingerprints suitable for biometric uses. AFISs are usually based on minutiae matching. Min...
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efl/esl textbooks have been regarded as essential language teaching materials with which the learners spend about 70 up to 90 percent of their class time. the important role they play and their vast use make them not only influential in learning the language but also in shaping values and attitudes. put it another way, textbooks socialize learners using their contents (i.e. texts, illustrations...
15 صفحه اولFingerprint Features
Fingerprint features are parameters in epidermis images of a fingertip (the fingerprint) that can be utilized to extract information which is exclusively specific to a unique person. These parameters can be measured by computational techniques applied to a digital image obtained by a fingerprint sensing method, e.g., using live optical or solid-state scanners, and digitizing inkrolled or latent...
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Tsai-Yang Jea and Venu Govindaraju Center for Unified Biometrics and Sensors, University at Buffalo, the State University of New York, Amherst, New York 14228 {tjea,govind}@cedar.buffalo.edu
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ژورنال
عنوان ژورنال: International Journal of Hybrid Information Technology
سال: 2015
ISSN: 1738-9968
DOI: 10.14257/ijhit.2015.8.1.23