![]() ![]() Similar classification performance was obtained on the NIST-9 database. Using a reject option, the four-class classification error can be reduced to less than 6% with 10% fingerprint images rejected. All types are referred to as tented arches. For he NIST-4 database, classification accuracies of 85.4% for the five-class problem and 91.1% for the four-class problem (with arch and tented arch placed in the same category) were achieved. The pattern can be symmetrical or oriented towards the ulnar of radial border (Fig. The tented arch tends to rise smoothly at the center of the patterns on a sharp upthrust or spike. Keywords: Arch, Tented-arch, 10-digit Fingerprint Slip, Prevalence. The plain arch tends to rise in the center of the pattern, forming a wavelike pattern. Whereas, Henry defined eight classes: whorl, Plain Arch, Right Loop, Left Loop, Central Pocket, Tented Arch, Twin Loop, and Accident but left loops, right loops and whorls are generally used types. Finger Print Bureau, India (1953), reported the prevalence of arches as 4.86 and. The classifier was tested on 4000 images in the NIST-4 database and on 5400 images in the NIST-9 database. The plain arch is formed by ridges entering from one side of the print and exiting on the opposite side B. The classifier is rule-based, where the rules are generated independent of a given data set. The classifier is invariant to rotation, translation and small amounts of scale changes. The algorithm extracts singular points (cores and deltas) in a fingerprint image and performs classification based on the number and locations of the detected singular points. One difficulty encountered when dealing with the tented arch pattern is that there is no single definition of just what one looks like. Fingerprints are classified into five categories: arch, tented arch, left loop, right loop and whorl. The tented arch pattern poses difficulties in fingerprint classification only 1 percent of the population has this pattern. A fingerprint classification algorithm is presented in this paper.
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