A Performance Analysis of Extreme Learning Machine on Skin Segmentation Dataset

Digital image processing has become popular research area recently because of its widespread application compatibility such as security, robotics, quality control, face authentication. Skin segmentation methodology, which is a tool of digital image processing, is useful in nudity alerts and face detection with its flexibility and simplicity. The purpose of the study is to develop general and simple model for skin segmentation with Extreme Learning Machine (ELM). ELM model is applied over Skin Segmentation Database from UCI Learning Repository. The reason for preference of UCI Database is its extensive samples from different age and race group of people.