HUMAN IDENTIFICATION WITH PALM PRINT BASED ON LOCAL BINARY PATTERN

Research Area: Volume 6,Issue 5, Sept. 2017 Year: 2017
Type of Publication: Article Keywords: Identification, Palm Print, LBP
Authors:
  • HEND HADIA ALMEZOGHY
  • MANSUR M. ALI
  • JAVAD RAHEBI
  • AYBABA HANCERLIOGULLARI
Journal: IJEIR Volume: 6
Number: 5 Pages: 227-230
Month: September
ISSN: 2277-5668
Abstract:
Palm recognition is one of the research areas is considered in recent years. In this paper, we introduce a new method for human palmprint identification system with local binary pattern. First, the palm images is preprocessed with morphological technics. Then the feature extraction is applied for images. We used local binary pattern (LBP) for desired features. This approach is tested for 500 people and there are 1, 2, 3 and 4 image from each people. Our method is compared with PCA method. The result shows that proposed method is efficiency and good performance (%92) for palmprint recognition

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