EYE DETECTION AS FACIAL FEATURE USING SCILAB IMAGE PROCESSING TOOL

Authors

  • Er. Mauli Joshi Assistant Professor, Department of Computer Science & Engineering, Maharishi Ved Vyas Engineering College, Jagadhri ,Kurukshetra University, Kurukshetra, India

Abstract

Human face detection and recognition play important roles in many applications such as video surveillance and face image database management. Face detection and extraction is research for future systems to identify the persons in a group and authenticate the reality of human presence as in airport security system, gathering and class room attendance system. In recent years, with the popularity of digital camera and camcorder, the demand for real-time face detection is increasing. Detecting faces directly in a compressed domain, instead of the original image, is an interesting approach that can save time in the decompression process and reduce the complexity of hardware and software design. The paper focus on the eye detection and extraction as facial feature, of human face, and multi human eyes detection using SLILAB Image and Video Processing Toolbox (SIVP). Keywords: Human Face Detection, SCILAB, Digital Image processing

Downloads

Published

2015-06-30

How to Cite

Joshi, E. M. (2015). EYE DETECTION AS FACIAL FEATURE USING SCILAB IMAGE PROCESSING TOOL. International Journal of Engineering Technology and Computer Research, 3(3). Retrieved from https://www.ijetcr.org/index.php/ijetcr/article/view/186

Issue

Section

Articles