Call for Paper - October 2019 Edition
IJCA solicits original research papers for the October 2019 Edition. Last date of manuscript submission is September 20, 2019. Read More

Facial Features Extraction by Relative Geometrical Position

Print
PDF
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 98 - Number 15
Year of Publication: 2014
Authors:
Sundos A. Hameed
10.5120/17263-7619

Sundos A Hameed. Article: Facial Features Extraction by Relative Geometrical Position. International Journal of Computer Applications 98(15):37-40, July 2014. Full text available. BibTeX

@article{key:article,
	author = {Sundos A. Hameed},
	title = {Article: Facial Features Extraction by Relative Geometrical Position},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {98},
	number = {15},
	pages = {37-40},
	month = {July},
	note = {Full text available}
}

Abstract

In this research, traditional methods will be used to segment the true color of ace images such as Edge detection method and some preprocessing operations, the resulted regions was applied on the Facial Feature Extraction, for primary face image, segment the image into small and large regions (objects), the goal of this section is to detect the face region and facial features such as determining feature information about eyes, nose, and mouth, For facial feature extraction, one of very popular methods in geometrical feature based approach is the use of vertical axis of the center face region, so we used the face detection on facial database to recognized any input of gray face images, in this application the feature-based approach is selected. By testing many kind of images, some of which are face images, and all of these images prove the success of the applied it using proposed method.

References

  • S. E. Umbaugh, "Computer Vision and Image Processing", Prentice-Hall, 1998.
  • R. Muller, "Introduction into Image Analysis", Computer Graphics and Image Processing, GDV. RM. WS02/ 031- 0, 2002, www. cs. rotgers. edu.
  • Karaman E. , Hassanpour R. , "Model Based Human Face Segmentation Using Skin Color", Cankaya University, Turkish Symposium on Artificial Intelligence and Neural Network, 2003.
  • Aladdin J. Al-Hilli, "A Fuzzy Clustering Approach For Colored Image Segmentation", Ph. D. thesis ,Computer Sciences, Higher Studies Institute for Computers & Information, 2002
  • Baogang W. , Dongming L. , Yunhe P. , and Wenhua X. , "Interactive Image Segmentation Using Multiple Color Spaces And Its Application in Ancient Art Preservation", Artificial Intelligence Institute, Zhejiang University, Hangzhou, 2000, China P. R. 310027, www. rostock. zgdv. de.
  • Silver B. , " An Introduction to Digital Image Processing", Cognex Corporation, One Vision Drive, Natick, MA 01760, 2000.
  • Gonzalez R. C. and Woods E. , "Digital image processing", Addison-Wesley Publishing Company, 2004.
  • Shant K. A. , "Colored Image Segmentation Using Fuzzy Sets", University of Technology, M. Sc. Thesis, 1997.
  • Tang L. , Tian L. F. , and Steward B. L. , "Color Image Segmentation with Genetic Algorithm for In-Field Weed Sensing ", Information and Electrical Technologies, Div. of ASAE, 2000.
  • Sural S. , Qian G. and Pramanik S. , "Segmentation and Histogram Generation using the HSV Color Space for Image Retrieval", IEEE, ICIP, pp II 589 – II 592, 2002.
  • Baskan S. , Bulut M. M. , and Atalay V. , "Projection based method for Segmentation of Human Face and its evaluation", Elsevier Scince, pp 1623-1629 , 2002,www. elsevir. com.
  • Lu W. , and Sun S. , "Face Detection in Color Images ", Department of Electrical Engineering, Stanford University, 2003
  • Wesolkowski S. B. , "Color Image Edge Detection and Segmentation: A Comparison of the Vector Angle and the Euclidean Distance Color Similarity Measures ", M. Sc. Thesis, University of Waterloo, 1999.
  • Wesolkowski S. , and Jernigan E. , "Color Edge Detection in RGB Using Jointly Euclidean Distance And Vector Angle ", University of Waterloo, canada, pp. 9-16, 1999.