Finger Knuckle Print (FKP) Recognition - Based On The Ratio Rule Fusion Of Symbolic Aggregate Approximation And Base Only Correlation

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.

About the author

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.

Product details

• Authors: Mohammed Y Alswaitti, Mohammed Y T Alswaitti, Mohammed Y. T. Alswaitti, Bakhtiar Affend Bin Rosdi, Bakhtiar Affendi Bin Rosdi
• Publisher: LAP Lambert Academic Publishing
• Languages: English, German
• Product format: Paperback / Softback
• Released: 22.10.2012
• EAN: 9783845433943
• ISBN: 978-3-8454-3394-3
• No. of pages: 68
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing > Miscellaneous