Open AccessA Direction‐Based Vascular Pattern Extraction Algorithm for Hand Vascular Pattern Verification
Author(s) -
Im Sang Kyun,
Choi Hwan Soo,
Kim SooWbn
Publication year - 2003
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.03.0102.0211
Subject(s) - extraction (chemistry) , computer science , algorithm , filter (signal processing) , pattern recognition (psychology) , artificial intelligence , computer vision , chemistry , chromatography
This paper proposes an improved vascular pattern extraction algorithm for person verification applications. The proposed direction‐based vascular pattern extraction (DBVPE) algorithm is based on the directional information of vascular patterns. It applies two different filters to the input images: row vascular pattern extraction filter (RVPEF) for effective extraction of the abscissa vascular patterns and column vascular pattern extraction filter (CVPEF) for effective extraction of the ordinate vascular patterns. We use the combined output of both filters to obtain the final hand vascular patterns. Unlike the conventional hand vascular pattern extraction algorithm, the directional extraction approach prevents loss of the vascular pattern connectivity. To validate the DBVPE algorithm, we used a prototype system with a DSP processor. The prototype system shows approximately a three‐times better false acceptance rate (FAR) than the conventional single filter algorithm.