Abstract

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A NEW CODING METHOD IN PATTERN RECOGNITION FINGERPRINT IMAGE USING VECTOR QUANTIZATION

NAGHAM J. SHUKUR


Fingerprints are imprints formed by friction ridges of the skin and thumbs. They have long been used for identification because of their immutability and individuality. Immutability refers to the permanent and unchanging character of the pattern on each finger. Individuality refers to the uniqueness of ridge details across individuals; the probability that two fingerprints are alike is about 1 in 1.9x1015. In despite of this improvement which is adopted by the Federal Bureau of Investigation (FBI), the fact still is “The larger the fingerprint files became, the harder it was to identify somebody from their fingerprints alone. Moreover, the fingerprint requires one of the largest data templates in the biometric field”. The finger data template can range anywhere from several hundred bytes to over 1,000 bytes depending upon the level of security that is required and the method that is used to scan one's fingerprint. For these reasons this work is motivated to present another way to tackle the problem that is relies