Ear Print Recognition Based On Local Texture Descriptors.

Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/21929

Title:	Ear Print Recognition Based On Local Texture Descriptors.
Authors:	CHACHA. Sabrina, CHACHA. Seida AIADI .Oussama
Keywords:	Ear Recognition , texture descriptors dataset
Issue Date:	11-Nov-2019
Abstract:	Ear recognition has attracted a lot of attention during the last decade. In this work, we develop a system for ear recognition based on local texture descriptors. In particular, we propose to employ Gray-Level Co-Occurrence Matrix (GLCM) and Local Binary Patterns descriptors for describing ear images. We conduct experiments on the well-known IIT-Delhi-I dataset which is made up of 493 images from 125 persons. Experimental results yield promising result.
URI:	http://dspace.univ-ouargla.dz/jspui/handle/123456789/21929
Appears in Collections:	Département d'Electronique et des Télécommunications - Master

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