Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Palm Recognition Using OpenCV on BeagleBoard Xm: DM3730

Author : Khushi Diccar 1

Date of Publication :23rd February 2018

Abstract: The palm print is a new and emerging biometric feature for personal recognition. The system provides the basic idea about palm print recognition using OpenCV libraries, principal component analysis (PCA) algorithm and Beagleboard XM: DM3730 platform, OpenCV library is having rich functionality for image processing. The results of the experiments show the efficiency of the palm recognition system is 78% for 0.00 matching confidence threshold

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