Issn: 2277-9655 [Jain* et al



Download 0.55 Mb.
Page3/3
Date02.07.2018
Size0.55 Mb.
1   2   3

RESULTS

We are showing the Results of the PCA+SVD based face Reorganization. As we can see , we give the input sample image and at the output we get the matched images from the large image data set by use PCA+SVD .




Figure 5 :- Face Reorganization by PCA +SVD
Figure 6 is showing the output of the Accuracy . As we can see from the figure 6 the accuracy of the PCA+SVD is high as compare to PCA . Green color graph is showing the Accuracy for the PCA while Black color is showing the accuracy for the PCA+SVD based face reorganization.


Figure 6 :- Accuracy of Face Recognition
CONCLUSION & FUTURE SCOPE

In this paper, we are improving the accuracy of the face reorganization system . In the previous paper , they was using PCA algorithm for face detection . In this thesis, we are using PCA +SVD based algorithm so that accuracy can get increase .As we can see from the results session , the Accuracy of PCA+SVD get increase up to 30% as compare to PCA.


In the future ,we can work for the project limitations. According to our first limitation , in the future we can work for the Face expression also . In the present time we are working only for the Face Recognition but face expression recognition system also can be introduce along with Face recognition. In the results session ,we can also introduce some more parameters like PSNR and MSE . We can also introduce the hardware for detect the face and also able to increase the data base .
REFERENCES

  1. Priyanka Dhoke1, M.P. Parsai2," A Matlab Based Face Recognition Using Pca With Back Propagation Neural Network" International Journal Of Innovative Research In Computer And Communication Engineering Vol. 2, Issue 8, August 2014.

  2. V. Balamurugan, Mukundhan Srinivasan, Vijayanarayanan.A," A New Face Recognition Technique Using Gabor Wavelet Transform With Back Propagation Neural Network ", International Journal Of Computer Applications (0975 – 8887) Volume 49– No.3, July 2012

  3. Sachin Shende & Rahila Patel ," Efficient Face Detection Using Pca And Ann Techniques ", Issn (Print) : 2319 – 2526, Volume-2, Issue-5, 2013.

  4. Navneet Jindal 1, Vikas Kumar ,"Enhanced Face Recognition Algorithm Using Pca With Artificial Neural Networks ", International Journal Of Advanced Research In Computer Science And Software Engineering Volume 3, Issue 6, June 2013.

  5. Vijayalaxmi , P.Sudhakara Rao And S Sreehari “Neural Network Approach For Eye Detection” .2012

  6. Omaima N. A. Al-Allaf “Review Of Face Detection Systems Based Artificial Neural Networks Algorithms” February 2014

  7. Aruna Bhadu, Rajbala Tokas, Dr. Vijay Kumar “ Facial Expression Recognition Using Dct, Gabor And Wavelet Feature Extraction Techniques” July 2012

  8. Dinesh Kumar, Rajni “ Face Recognition Based On Pca Algorithm Using Simulink In Matlab”July 2014 .

  9. Poonam Dhankhar, Neha Sahu “Edge Based Human Face Detection Using Matlab” Feb 2014 .

  10. Ms. Jaishree Tawaniya, Ms. Rashmi Singh, Ms. Neha Sharma, Mr. Jitendra Patidar “Image–Based Face Detection And Recognition Using Matlab” May 2014 .

  11. Jawad Nagi, Syed Khaleel Ahmed Farrukh Nagi “A Matlab Based Face Recognition System Using Image Processing And Neural Networks”2008 .

  12. Nisha Soni, Garima Mathur, Mahendra Kumar” A Matlab Based High Speed Face Recognition System Using Som Neural Networks”Aug 2013 .

  13. Urvashi Bakshi, Rohit Singhal “A New Approach Of Face Recognition Using Dct, Pca, And Neural Network In Matlab”June 2013.

  14. A. S. Syed Navaz1, T. Dhevi Sri2 & Pratap Mazumder," Face Recognition Using Principal Component Analysis And Neural Networks ", International Journal Of Computer Networking, Wireless And Mobile Communications (Ijcnwmc) Issn 2250-1568 Vol. 3, Issue 1, Mar 2013, 245-256.

  15. Aman R. Chadha, Pallavi P. Vaidya, M. Mani Roja," Face Recognition Using Discrete Cosine Transform for Global and Local Features ", roceedings of the 2011 International Conference on Recent Advancements in Electrical, Electronics and Control Engineering (IConRAEeCE)

  16. Guo-Dong Guo And Hong-Jiang Zhang ," Boosting For Fast Face Recognition", Microsoft Research China 5f, Beijing Sigma Center No. 49, Zhichun Road, Haidian District Beijing 100080, P. R. China.

  17. Paul Viola , Michael J. Jones," Robust Real-Time Face Detection", International Journal Of Computer Vision 57(2), 137–154, 2004 C 2004 Kluwer Academic Publishers. Manufactured In The Netherlands.

  18. Paul Viola , Michael Jones ," Rapid Object Detection Using A Boosted Cascade Of Simple Features" , Accepted Conference On Computer Vision And Pattern Recognition 2001.

  19. Parin M Shah," Face Detection from Images Using Support Vector Machine"

  20. Cahit Gürel," Development Of A Face Recognition System".

  21. Yu-Hao Huang, chiou-Shann Fuh," Face Detection And Smile Detection".

  22. Sukanya Sagarika Meher , Pallavi Maben , "Face recognition and facial Expression Identification using PCA ", 978-1-4799-2572-8/14/$31.00_c 2014 IEEE.




http: // www.ijesrt.com © International Journal of Engineering Sciences & Research Technology

[]

Directory: record
record -> An act relating to dental examinations for Medicaid applicants. Be it enacted by the General Assembly of the Commonwealth of Kentucky
record -> 16 rs br 88 an act relating to oral health care and making an appropriation therefor
record -> An act relating to home medical equipment and service providers. Be it enacted by the General Assembly of the Commonwealth of Kentucky
record -> An act relating to oral health care and making an appropriation therefor. Be it enacted by the General Assembly of the Commonwealth of Kentucky
record -> An act relating to library taxing districts. Be it enacted by the General Assembly of the Commonwealth of Kentucky
record -> Invitation to tender
record -> Indian Medical Association (HQs.)
record -> Legislative record house appendix
record -> Second special session


Share with your friends:
1   2   3


The database is protected by copyright ©dentisty.org 2019
send message

    Main page