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
The interconnection of devices, mechanical and digital machines, objects, animals or people with the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction known as Internet of Things (IoT) can only be successfully achieved with...
Open access
Research Article10.9734/BJAST/2016/30737
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
The primary objective of this study is to classify defective Adire fabrics, allowing quality control to prevent economic loss. In Adire production, common defects include stains, tears, colour variation, colour smear, colour bleeding, shade variation, pattern misalignments and co...
Open access
Research Article10.9734/jerr/2026/v28i41865
This paper is set out to evaluate the performance of feature extraction techniques that can determine ethnicity of an individual using fingerprint biometric technique and deep learning approach. Hence, fingerprint images of one thousand and fifty-four (1054) persons of three diff...
Open access
Research Article10.9734/ajrcos/2019/v3i130084
Every academic institute has special concerns for student’s attendance in examination halls. At present, in developing countries attendance is usually taken using paper sheets and the old file system. The effectiveness of this style is low because it is highly labor-intensive, er...
Open access
Research Article10.9734/BJMCS/2016/24661