6533b7d0fe1ef96bd125a1dc

RESEARCH PRODUCT

Fast Fingerprints Classification Only Using the Directional Image

Davide PercontiVincenzo ContiSalvatore VitabileFilippo SorbelloSalvatore RomanoGiuseppe La TonaSalvatore Gaglio

subject

Artificial neural networkbusiness.industryComputer scienceFingerprintBayesian networkPattern recognitionArtificial intelligencebusinessImage (mathematics)

description

The classification phase is an important step of an automatic fingerprint identification system, where the goal is to restrict only to a subset of the whole database the search time. The proposed system classifies fingerprint images in four classes using only directional image information. This approach, unlike the literature approaches, uses the acquired fingerprint image without enhancement phases application. The system extracts only directional image and uses three concurrent decisional modules to classify the fingerprint. The proposed system has a high classification speed and a very low computational cost. The experimental results show a classification rate of 87.27%.

yearjournalcountryeditionlanguage
2007-09-11
https://doi.org/10.1007/978-3-540-74819-9_5