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Human Face Recognition

by Himani Sabharwal, Akash Tayal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 104 - Number 11
Year of Publication: 2014
Authors: Himani Sabharwal, Akash Tayal
10.5120/18243-9173

Himani Sabharwal, Akash Tayal . Human Face Recognition. International Journal of Computer Applications. 104, 11 ( October 2014), 1-3. DOI=10.5120/18243-9173

@article{ 10.5120/18243-9173,
author = { Himani Sabharwal, Akash Tayal },
title = { Human Face Recognition },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 104 },
number = { 11 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume104/number11/18243-9173/ },
doi = { 10.5120/18243-9173 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:35:51.005906+05:30
%A Himani Sabharwal
%A Akash Tayal
%T Human Face Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 104
%N 11
%P 1-3
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

SIFT (scale invariant feature transform) being a feature extraction algorithm was initially used for object recognition, pattern recognition. But from past few years this algorithm is frequently being used for human face recognition based on feature extraction and matching. The twist here is that between feature extraction and its recognition I have used fuzzy clustering to create clusters so that we can localize the areas for feature point detection. As this recognition is based on a GUI system whose recognition rate is almost 99% – 100% for face recognition and feature detection.

References
  1. David G. Lowe, "Distinctive image features from scale-invariant keypoints," in international journal of computer vision, January 5, 2004.
  2. Wenyu Chen, Yanli Zhao , Wenzhi Xie and Nan Sang, "An Improved SIFT Algorithm for Image Feature-Matching,".
  3. David G. Lowe, "Object Recognition from Local Scale-Invariant Features," Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999).
  4. Dilbag Singh, " Human emotion recognition system," in august 2012 in MECS, DOI 10. 5815/ijigsp. 2012. 08. 07.
  5. Shail Kumari Shah, " A survey of facial expression recognition methods," in IOSR journal of engineering (iosrjen), ISSN (e): 2250-3021, ISSN (p): 2278-8719 Vol. 04, Issue 04 (April. 2014), ||V3|| PP 01-05.
  6. Qing Zhang and Minho Lee,"Fuzzy-GIST for emotion recognition in natural scene images," in 2009 IEEE 8th international conference on development and learning.
  7. Han Yanbin, Yin Jianqin and Li Jimping, "Human Face Feature Extraction and Recognition Base on SIFT," in 2008 international symposium on computer science and computational technology, IEEE.
  8. David G. Lowe, "Local feature view clustering for 3d object recognition," Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii (December 2001).
Index Terms

Computer Science
Information Sciences

Keywords

SIFT Fuzzy clustering Image recognition feature extraction.

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