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A novel finger knuckle print recognition algorithm is proposed. The main achieved goals were the low complexity of preprocessing stages, the needless of any image enhancement techniques and the discriminative power with high reliability produced by fusion of two separate algorithms 2DSAX and BLPOC respectively, with low processing time. A comparison has been made with previously proposed algorithms for FKP. And the experimental results proved that the proposed algorithm is much better and simpler than other recognition algorithms.

Produktbeschreibung
A novel finger knuckle print recognition algorithm is proposed. The main achieved goals were the low complexity of preprocessing stages, the needless of any image enhancement techniques and the discriminative power with high reliability produced by fusion of two separate algorithms 2DSAX and BLPOC respectively, with low processing time. A comparison has been made with previously proposed algorithms for FKP. And the experimental results proved that the proposed algorithm is much better and simpler than other recognition algorithms.
Autorenporträt
Eng. Mohammed Alswaitti Graduated from Islamic University-Gaza,Palestine, (B.Sc.)Computer Engineering 2005.(M.Sc.)in Electronic Systems Design Engineering from University of science,Malaysia 2011. He is working as a lecturer in Software Engineering Department at University of Palestine and at the Educational Technology Center at Islamic University.