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A Review of various Face Prediction Models using Image Processing

by Nitesh Kumar, Vivek Jaglan, Akshat Agrawal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 142 - Number 3
Year of Publication: 2016
Authors: Nitesh Kumar, Vivek Jaglan, Akshat Agrawal
10.5120/ijca2016909714

Nitesh Kumar, Vivek Jaglan, Akshat Agrawal . A Review of various Face Prediction Models using Image Processing. International Journal of Computer Applications. 142, 3 ( May 2016), 18-22. DOI=10.5120/ijca2016909714

@article{ 10.5120/ijca2016909714,
author = { Nitesh Kumar, Vivek Jaglan, Akshat Agrawal },
title = { A Review of various Face Prediction Models using Image Processing },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 142 },
number = { 3 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 18-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume142/number3/24876-2016909714/ },
doi = { 10.5120/ijca2016909714 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:43:57.306747+05:30
%A Nitesh Kumar
%A Vivek Jaglan
%A Akshat Agrawal
%T A Review of various Face Prediction Models using Image Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 142
%N 3
%P 18-22
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Out of all body parts face is one of the most important part of body by which everyone can show its emotions, feelings etc. Most of the humans can easily predict a person’s current age just by gazing their faces. Facial recognition is a part of biometric software application which is used to identify a particular and individual thing in an image by analysis and evaluation of patterns. There are various face prediction models which are based on different techniques like PCA, ANN etc. Age plays an important role to predict the face of any person. Most of the models are built on the basis of age parameter. Recently, image processing has played a major role in this area of research and has widely used for the face prediction. These ages based models have various useful applications like security purpose, to find a missing person. This paper presents a survey of various face prediction systems using image processing techniques in recent times. A comprehensive study of a number of face prediction systems are done in this paper, with different methodologies and their performances.

References
  1. Poonam Yadav face prediction model for an automatic age invariant face recognition system arXiv 1506.0604v1[cs.CV] 16 April 2015
  2. Hlaing Htake Khaung Tin Subjective Age Prediction of Face Images Using PCA International Journal of Information and Electronics Engineering, Vol. 2, No. 3, May 2012.
  3. Hsuan T. Chang and Hsiao W. Peng Facial Image Prediction Using Exemplar-based Algorithm and Non-negative Matrix Factorization.
  4. Jungseock Joo, Francis F. Steen, and Song-Chun Zhu Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face.
  5. Jinli Suo , Song-Chun Zhu , Shiguang Shan and Xilin Chen A Compositional and Dynamic Model for Face AgingJOURNAL OF LATEX CLASS FILES, VOL. *, NO. *, JANUARY 2009.
  6. Qi Yin, Xiaoou Tang, Jian Sun An Associate- Predict Model for Face Recognition.
  7. Kathryn Bonnen and Brendan Klare and Anil K. Jain,"Component-Based Representation in Automated Face Recognition," IEEE Transactions on Information Forensics and Security-Volume 8, pp 239-253, 2013.
  8. J. l. Suo, Song-Chun Zhu, S. Shan, and X. Chen, “A Compositional and Dynamic Model for Face Aging,” IEEE Transactions on PatternAnalysis and Machine Intelligence, vol. 32, no. 3, 2010.
  9. L. L. Shen, “Gabor Wavelet Selection and SVM Classification for Object Recognition,” found online at www.sciencedirect.com, 2010.
  10. J. Bekios-Calfa, J. M. Buenaposada, and L. Baumela, “Revisiting Linear Discriminant Techniques in Gender Recognition,” IEEETransactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 4, 2011.
  11. H. Ai and G. Wei, “Face Gender Classification on Consumer Images in a Multiethnic Environment,” in Proc. Conf. Advances in Biometrics, 2009.
  12. G. Guo, C. R. Dyer, Y. Fu, and T. S. Huang, “Is Gender Recognition Affected by Age?” in Proc. IEEE Int’l Conf. Computer VisionWorkshop Human-Computer Interaction, pp. 2032-2039, 2009.
  13. J. Zheng, and B. L. Lu, “A support vector machine classifier with automatic confidence and its application to gender classification,” International Journal of Neurocomputing, pp. 1926-1935, 2011.
  14. K. Luu, T. Dai Bui, Y. Ching, Suen and K. Ricanek Jr, “Spectral Regression based Age Determination,” 2010.
  15. Ms. Sonali. B. Maind, Ms. Priyanka Wankar Research Paper on Basic of Artificial Neural Network International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 2 Issue: 1 96 – 100 IJRITCC | January 2014, Available @ http://www.ijritcc.org.
  16. Dileep M R, Ajit Danti Two Level Decision for Human age prediction using Neural Network International Journal of Electronics Communication and Computer Technology (IJECCT) Volume 5 Issue ICICC (May 2015).
  17. Dileep M R and Ajit Danti, Structured Connectivity-Face model for the recognition of Human Facial Expressions, International Journal of Science and Applied Information Technology (IJSAIT), Vol. 3 , No.3, Pages : 01 - 07 (2014) Special Issue of ICCET 2014, ISSN 2278-3083.
  18. M. J. Er, W. Chen, S. Wu, “High Speed Face Recognition based on discrete cosine transform and RBF neural network," IEEE Trans on Neural Network, vol. 16, No .3, pp. 679,691.
  19. K. Luu, T. Dai Bui, Y. Ching, Suen and K. Ricanek Jr, “Spectral Regression based Age Determination,” 2010.
  20. G. Mallikarjuna Rao, G. R. Babu, G. V. Kumari, and N. K. Chaitanya, "Methodological Approach for Machine based Expression and Gender Classification," IEEE International Advance Computing Conference, pp.1369-1374, 2009.
  21. J. Zheng, and B. L. Lu, “A support vector machine classifier with automatic confidence and its application to gender classification,” International Journal of Neurocomputing, pp. 1926-1935, 2011.
  22. Sithu Ubaid, Dr. Shyama Das, Imthiyas M.P. Human Age Prediction and Classification Using Facial ImageSithu Ubaid et.al / International Journal on Computer Science and Engineering (IJCSE) ISSN : 0975-3397Vol. 5 No. 05 May 2013.
  23. Gudong Guo, Yun Fu,Charles R. Dyer, Thomas S. Huang, "Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression", IEEE Transaction On Image Processing, vol. 17, (2008).
  24. Shima Izadpanahi, Onsen Toygar, "Geometric FeatureBased Age Classification Using Facial Images", IET Conference on Image Processing, (2012).
  25. Hlaing Htake Khaung Tin, "Subjective Age Prediction of Face Images Using PCA", International Journal of Information and Electronics Engineering, vol. 2, no. 3, (2012).
  26. K. Luu, T. D. Bui, C. Y. Suen, K. Ricanek, "Combined local and holistic facial features for age determination",ICARCV, pp. 900-904, (2010).
  27. J. l. Suo, Song-Chun Zhu, S. Shan, and X. Chen, "A Compositional and Dynamic Model for Face Aging", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 3, 2010.
  28. J. l. Suo, Song-Chun Zhu, S. Shan, and X. Chen, "A Compositional and Dynamic Model for Face Aging", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 3, 2010.
  29. Sergio Verduci and Hanqi Zhuang A preliminary study on human face prediction.
Index Terms

Computer Science
Information Sciences

Keywords

Face prediction PCA ANN image processing face recognition.

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