Transcription of Classification of Fingerprints
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Classification of Fingerprints
Classification of Fingerprints Sarat C. Dass Department of Statistics & Probability Fingerprint Classification Fingerprint Classification is a coarse level partitioning of a fingerprint database into smaller subsets. Fingerprint Classification reduces the search space of a large database: Determine the class of the query fingerprint. Then, only search templates with the same class as the query. Illustration: Inputs are the fingerprint impressions from 10 fingers of an individual. If size of the database is N and D is the number of classes, 10. Search space without Classification : N. Search space with Classification : (N/D)10. The Henry Classification System Henry (1900) made an extensive study of occurrence of Fingerprints and indexed them into 8 major classes.
1. Frequency based approached covert the fingerprint image into the frequency space and perform the classification in that space. 2. In Jain et. al (1999), Gabor filters at 16 different orientation values are applied to different sectors of the fingerprint image. The Gabor coefficients form the feature for classification.
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