VLSI Implementation of Eye Detection System
Journal: International Journal of Advanced Engineering Research and Science (Vol.4, No. 1)Publication Date: 2017-01-25
Authors : L. Padma Sree; G. Vijaya Bharghavi;
Page : 5-269
Keywords : Face Detection; Eye Detection; RGB; YUV.;
Abstract
The eye detection is one of the most challenging problems in many applications such as image processing, pattern recognition and computer vision. This paper introduces efficient vlsi implementation of eye detection system. Face detection is a very important part of the developed eye detection algorithm. Face detection is done by using skin detection method. Skin detection is an extraction of skin color pixels and regions from an image. In this method, first input image is converted from RGB image to YUV image. With YUV domain, the skin pixels in an image are extracted. Then Morphological operation is done by using erosion method through which noise of an image is also eliminated. From this image, face region is extracted by identifying the skin pixels. Then eye detection is done according to rules of human face proportion. The eye detection system is implemented using Verilog-HDL and simulation is done by using Xilinx ISE.
Other Latest Articles
- Structural and Dielectric Properties of Polyurethane Palm Oil Based Filled Empty Fruit Bunch
- The Effects of Recycled Aggregates on Compressive Strength of Concrete
- The Study of Shared Space in Inner Building of Low Income Flats
- Model of LPG Refrigerator A Literature Review
- Regional Flood Frequency Analysis Using Computer Simulations
Last modified: 2017-02-07 00:13:31