An Improved Chromatic Skin Color Model for Detecting Human Skin in JPEG Images

Kaid Saif Almohai, Hani (2005) An Improved Chromatic Skin Color Model for Detecting Human Skin in JPEG Images. Masters thesis, Universiti Putra Malaysia.

[img] PDF


The detection of the human skin has proven to be a useful and robust technique in computer vision for detecting, segmenting, and tracking faces and hands. It is also used in many different applications in motion capture, human-computer interaction, access control, surveillance, and content-based image retrieval and indexing of image databases. To build a decision rule that will discriminate between skin and non-skin pixels, a metric has to be introduced to measure the distance of the pixel color to skin tone. The skin color models define the type of this metric.An improved chromatic skin color model is discussed in this thesis. The model detected the human skin in the Bitmap images with JPEG format. A threshold method and 2D Gaussian model were used to improve the accuracy of the skin region detected. Good results have been achieved by using the proposed model. Results show that the model detects the human skin with an excellent detection rates for over than 90%. This result shows that this model is more appropriate to avoid false detection areas, while there remains a high degree of correct detection. This model has been implemented using the MATLAB software, which able to improve the performance and accuracy of skin detection models.

Item Type:Thesis (Masters)
Subject:Human skin color - Colorimetry - Case studies
Chairman Supervisor:Associate Professor Abd Rahman Ramli, PhD
Call Number:FK 2005 59
Faculty or Institute:Faculty of Engineering
ID Code:6080
Deposited By: Nur Izyan Mohd Zaki
Deposited On:10 May 2010 03:41
Last Modified:27 May 2013 07:27

Repository Staff Only: Edit item detail

Document Download Statistics

This item has been downloaded for since 10 May 2010 03:41.

View statistics for "An Improved Chromatic Skin Color Model for Detecting Human Skin in JPEG Images"

Universiti Putra Malaysia Institutional Repository

Universiti Putra Malaysia Institutional Repository is an on-line digital archive that serves as a central collection and storage of scientific information and research at the Universiti Putra Malaysia.

Currently, the collections deposited in the IR consists of Master and PhD theses, Master and PhD Project Report, Journal Articles, Journal Bulletins, Conference Papers, UPM News, Newspaper Cuttings, Patents and Inaugural Lectures.

As the policy of the university does not permit users to view thesis in full text, access is only given to the first 24 pages only.