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
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