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This paper proposes a fast and efficient palmprint identification method for a large database. The process is accelerated as a result of the authors' efficient palmprint classification and matching scheme. Palmprint classification method is based on principle lines which are life line, head line and heart line. Palmprints' features are extracted with Log-Gabor filter and matched with Hamming distance in the most potential palmprint group/category, and if necessary, continues orderly to the less potential ones.
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