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E. O. Omidiora

Publications (5)

Comparative Analysis of Back Propagation Neural Network and Self Organizing Feature Map in Estimating Age Groups Using Facial Features

E. O. Omidiora, M. O. Oladele, T. M. Adepoju, A. A. Sobowale & O. A. Olatoke · Current Journal of Applied Science and Technology · 2016

Aim: This paper presents a statistical analysis of the performance of two age estimation algorithms namely Back Propagation Neural Network (BPNN) and Self Organizing Feature Map (SOFM) on human face images. Methodology: 630 human face images with age ranges 0 - 69 from the FG-NET...

Open access Research Article 10.9734/BJAST/2016/24303

Object Activity Recognition System with Shadow Suppression Using Adaptive Gaussian Mixture Model

A. O. Adekunle, E. O. Omidiora, S. O. Olabiyisi & J. A. Ojo · Journal of Advances in Mathematics and Computer Science · 2016

Moving object detection is an important step in any video surveillance system, tracking or video activity. This paper examines the result of the adaptive Gaussian Mixture Model using the Maximum A posterior (MAP) updates on video clips (dataset) obtained from Adeyemi College of E...

Open access Research Article 10.9734/BJMCS/2016/25119

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

Development of an Optimized Mobile Agent Migration Pattern for Pull-All Data Strategy

M. O. Oyediran, T. M. Fagbola, S. O. Olabiyisi & E. O. Omidiora · Journal of Advances in Mathematics and Computer Science · 2016

A mobile agent is a software entity that migrates from one host to another, performing data collection and software configuration tasks on behalf of users in distributed networks. However, studies have shown that the existing pull – all data strategy of mobile agent migration pat...

Open access Research Article 10.9734/BJMCS/2016/26024