B. M. Latinwo

Iris Texture Analysis for Ethnicity Classification Using Self-Organizing Feature Maps

B. M. Latinwo, A. S. Falohun, E. O. Omidiora & B. O. Makinde · Journal of Advances in Mathematics and Computer Science · 2018

Ethnicity Classification from iris texture is a notable research in the field of pattern recognition that differentiates groups of people as distinct community by certain characteristics and attributes. Several ethnicity classification systems have been developed using Supervised...

Open access Research Article 10.9734/JAMCS/2017/29634

Principal Component Analysis - Based Ethnicity Prediction Using Iris Feature

B. M. Latinwo, A. S. Falohun & E. O. Omidiora · Current Journal of Applied Science and Technology · 2016

This paper presents the effectiveness of Principal Component Analysis (PCA) technique in analyzing iris texture by performing dimensionality reduction and extracting unique feature codes of images for efficient ethnicity classification using iris images from African and two Asian...

Open access Research Article 10.9734/BJAST/2016/26131