CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Neural Illustration based Creature Recognition System

by Prabakaran.M, Dr.T.Senthilkumar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 14 - Number 8
Year of Publication: 2011
Authors: Prabakaran.M, Dr.T.Senthilkumar
10.5120/1905-2539

Prabakaran.M, Dr.T.Senthilkumar . Neural Illustration based Creature Recognition System. International Journal of Computer Applications. 14, 8 ( February 2011), 13-17. DOI=10.5120/1905-2539

@article{ 10.5120/1905-2539,
author = { Prabakaran.M, Dr.T.Senthilkumar },
title = { Neural Illustration based Creature Recognition System },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 14 },
number = { 8 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume14/number8/1905-2539/ },
doi = { 10.5120/1905-2539 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:02:50.465238+05:30
%A Prabakaran.M
%A Dr.T.Senthilkumar
%T Neural Illustration based Creature Recognition System
%J International Journal of Computer Applications
%@ 0975-8887
%V 14
%N 8
%P 13-17
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face detection is one of the challenging problems in image processing. In this paper we have proposed a new technology named neural GUI based human recognition robotics. This system contains the skin color which is the main feature of faces for detection, and then the skin face candidate is examined by using the neural GUI, which learn from the feature of faces to classify whether the original image includes a face or not. Finally the classification is based on GUI approach. The experiment results on upright frontal color face images from the internet show an excellent detection rate.

References
  1. Jiamin Jiang,Ying Weng,and P.LI “ Dominant colour extraction in DCT Domain” in Image and Vision computing 24 , 2002 published by Elsevier B.V,pp.129-177.
  2. Hwei-Jen Lin, Shu-Yi Wang, Shwu-Huey, and Yang –Ta-Kao “Face Detection Based on Skin Color Segmentation and Neural Network” IEEETransactions on, Volume: 2, pp544- 549, ISBN: 0-7804-9422-4
  3. Y. Ming-Hsuan, D. J. Kriegman, and N. Ahuja, "Detecting faces in Images: a survey," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 24, pp. 44-58, 2002.
  4. H. A. Rowley, S. Baluja, and T. Kanade, "Neural network-based face detection," in Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 20, 1998, pp. 24-48.
  5. L. Ma, Y. Xiao, K. Khorasani, and R. K. Ward, “A new facial expression recognition technique using 2D DCT and k-means algorithm”, in Proc.International Conference on Image Processing,Oct. 2004, pp. 129-172.
  6. F.Smach, M.Atri, J.Miteran and M.Abid “Design of a Neural Networks Classifier for Face Detection" in Journal of computer Science 2(3):pp257-260, 2006
  7. Lamiaa Mostafa, Sharif Abdelazeem “Face Detection Based on Skin Color Using Neural Networks” in GVIP 05 Conference, pp19-21, Dec 2006, CICC, Cairo, Egypt.
  8. V. Vezhnevets, V. Sazonov, and A. Andreeva, “A survey on pixel-based skin color detection techniques”, in Proc. Graphicon-2003
  9. H. Kruppa, M. A. Bauer, and B. Schiele, “Skin patch detection in Real world images”, in Proc. of the DAGM-Symposium, 2002, pp. 109-116.
  10. L. Ma, Y. Xiao, K. Khorasani, and R. K. Ward, “A new facial expression recognition technique using 2D DCT and k-means algorithm”, in Proc.International Conference on Image Processing, Oct. 2004, pp. 1269- 1272.
  11. L. Ma and K. Khorasani, “Facial expression recognition using constructive feed forward neural networks”, IEEE Transactions on Systems,Man and Cybernetics, Part B, Vol. 34, No. 3, June 2004, pp.1588 – 1595
  12. L. Ma, Y. Xiao, K. Khorasani, and R. K. Ward, “A new facial expression recognition technique using 2D DCT and k-means algorithm”, in Proc.International Conference on Image Processing,Oct. 2004, pp. 1269-1272.
  13. Jiamin Jiang,Ying Weng,and P.LI “ Dominant colour extraction in DCT Domain” in Image and Vision computing 24 , 2006 published by Elsevier B.V,pp.1269-1277.
  14. E. Hjelmås, and B. K. Low, “Face detection: a survey”, Computer Vision and Image Understanding, Vol. 83, No. 3, Sept. 2001, pp. 236-274.
  15. H. Wang and S. –F. Chang, “A highly efficient system for automatic face region detection in mpeg video,” In IEEE Trans. CSVT, 7(4), 1997.
Index Terms

Computer Science
Information Sciences

Keywords

Skin color segmentation compressed domain Neural Networks

Powered by PhDFocusTM