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 Article10.9734/BJAST/2016/24303
Despite significant research efforts for School Timetabling Problem (STP) and other timetabling problems, an effective solution approach (model and algorithm) which provides boundless use and high quality solution has not been developed. Hence, this paper presents a novel solutio...
Open access
Research Article10.9734/ajrcos/2020/v5i330136
Significant investments are being made yearly to improve service quality and delivery in banking systems to minimise customers' dissatisfactions with long waiting time due to overcrowding. However, most existing empirical studies to address this problem employed the method where...
Open access
Research Article10.9734/jerr/2018/v1i39830
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 Article10.9734/BJMCS/2016/25119
Age estimation is the determination of a person’s age based on biometric features such as face, finger print etc. it is a hard problem for both humans and the computer system. In this paper, back propagation neural network was used to classify face images into eight different age...
Open access
Research Article10.9734/BJMCS/2016/22869
Unimodal biometrics system (UBS) drawbacks include noisy data, intra-class variance, inter-class similarities, non-universality, which all affect the system's classification performance. Intramodal fingerprint fusion can overcome the limitations imposed by UBS when features are f...
Open access
Research Article10.9734/ajrcos/2021/v11i230256
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 Article10.9734/JAMCS/2017/29634
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 Article10.9734/BJAST/2016/26131
Feature extraction and feature selection place an important role in online character recognition and as procedure in choosing the relevant feature that yields minimum classification error. Character recognition has been a good research area for many years because of its potential...
Open access
Research Article10.9734/BJMCS/2016/24078
Aim: To carry out performance evaluation of an Improved Self-Organizing Feature Map (SOFM) and Modified Counter Propagation Network (CPN) techniques in face recognition. These two techniques were examined, implemented and evaluated by using metrics such as recognition accuracy, s...
Open access
Research Article10.9734/BJMCS/2016/22588
This paper presents a typewritten characters recognition system using Hidden Markov Model (HMM). Character recognition systems convert images of printed, typewritten or handwritten documents into computer readable texts that can be easily edited or searched. Character recognition...
Open access
Research Article10.9734/BJMCS/2016/20376
Feature dimensionality reduction is the process of minimizing the number of features in high dimensional feature space. It encompasses two vital approaches: feature extraction and feature selection. In face recognition domain, widely adopted face dimensionality reduction techniqu...
Open access
Research Article10.9734/BJMCS/2015/19490
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 Article10.9734/BJMCS/2016/26024