Hani. K. Almohair, "An ICSC Model for Detecting Human Skin in JPEG Images," WSEAS Transactions on Signal Processing, vol. 16, pp. 75-80, 2020, DOI:10.37394/232014.2020.16.9
Hani. K. Almohair. An ICSC Model for Detecting Human Skin in JPEG Images.
WSEAS Transactions on Signal Processing. 2020;16:75-80. 10.37394/232014.2020.16.9
WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 16, 2020
An ICSC Model for Detecting Human Skin in JPEG Images
Author:
Abstract: The detection of human skin color has proven to be a useful and robust technique for detecting nude images, face detection, localization and tracking. This paper presents an Improved Chromatic Skin Color model to detect the human skin in JPEG images; the ICSC model detected the human skin with detection rates more than 90%. A threshold method and 2D Gaussian model will improve the accuracy of skin regions detected
Pages: 75-80 WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 16, 2020, Art. #9 DOI: 10.37394/232014.2020.16.9
×
Citation Tools