Home   >   CSC-OpenAccess Library   >    Manuscript Information
MSB based Face Recognition Using Compression and Dual Matching Techniques
Vasantha Kumara M., Mohammed Rafi
Pages - 62 - 75     |    Revised - 31-07-2019     |    Published - 31-08-2019
Volume - 13   Issue - 4    |    Publication Date - August 2019  Table of Contents
MORE INFORMATION
KEYWORDS
Biometrics, Face Recognition, DWT, MSB, Compression.
ABSTRACT
Biometrics are used in almost all communication technology applications for secure recognition. In this paper, we propose MSB based face recognition using compression and dual matching techniques. The standard available face images are considered to test the proposed method. The novel concept of considering only four Most Significant Bits (MSB) of each pixel on image is introduced to reduce the total number of bits to half of an image for high speed computation and less architectural complexity. The Discrete Wavelet Transform (DWT) is applied to an image with only MSB's, and consider only LL band coefficients as final features. The features of the database and test images are compared using Euclidian Distance (ED) an Artificial Neural Network (ANN) to test the performance of the pot method. It is observed that, the performance of the proposed method is better than the existing methods.
1 Google Scholar 
2 refSeek 
3 Doc Player 
4 Scribd 
5 SlideShare 
Abdi. H. and Williams, "Principal Component Analysis", Wiley Interdisciplinary Reviews: Computational Statistics, vol. 2, issue 4, pp. 433-459, 2010.
Bhaskar Anand and Prashant, "Face Recognition using SURF Features and SVM Classifier", International Journal of Electronics Engineering Research, vol 8, no.1, pp. 1-8, 2016.
Biao Yang, Jinmeng Cao, Rongrong Ni and Yuyu Zhang, "Facial Expression Recognition using Weighted Mixture Deep Neural Network based on Double-Channel Facial Images", IEEE Access, Vol.6, pp.4630- 4640, 2018.
Ekenel H K, and Sankur B, "Multiresolution Face Recognition", Elsevier Journal on Image and Vision Computing, vol 23, issue 5, pp. 469-477, 2005.
Govardhan Mattela and Sandeep K. Gupta, "Facial Expression Recognition Using Gabor-Mean DWT Feature Extraction Technique" IEEE International Conference on Signal Processing and Integrated Networks, 2018, pp 575-580.
Jyothi Ravikumar, Ramachandra A C, K B Raja and Venugopal K R, "Convolution based Face Recognition using DWT and HOG," IEEE International Conference on Image Processing, Computer Science and Information Technology, 2018, pp 327-334.
Kuang-Chih Lee, David J. Kriegman, and Jeffrey Ho, "Acquiring Linear Subspaces for Face Recognition under Variable Lighting," IEEE Transactions on Pattern Analysis & Machine Intelligence, May 2005, vol. 27, no 5, pp. 684-698.
M. J. Lyons, M. Kamachi and J. Gyoba, "Japanese Female Facial Expressions (JAFFE)," Database of digital images, 1997.
Meihua Wang, Hong Jiang and Ying Li, "Face Recognition based on DWT/DCT and SVM", IEEE International Conference on Computer Application and System Modeling, 2010, pp v3_ 507- v3_510.
P.S.Sumathi and D.Christopher Durairaj, "Enhanced Face Recognition using Principal Component analysis (PCA) and Discrete Wavelet Transform", International Journal of Pure and Applied Mathematics, Vol. 119, Issue 12, pp. 13685-13693, 2018.
Ravi J and K B Raja, "Hybrid Domain Based Face Recognition System," International Journal of Advanced Networking and Applications, vol. 03, pp.1402-1408. 2012.
Riddhi A. Vyas, and S M Shah "Comparison of PCA and LDA Techniques for Face Recognition Feature based Extraction with Accuracy Enhancement", International Research Journal of Engineering and Technology, vol 4, issue 6, pp 3332-3336, Jun 2017.
Ridha Ilyas Bendjillali, Mohammed Beladgham, Khaled Merit and Abdelmalik Taleb-Ahmed, "Improved Facial Expression Recognition Based on DWT Feature for Deep CNN", International Journal on the Science of Electronics and its Applications (Electronics), pp. 1-16, 2019.
Sellahewa, H., Jassim, S.A, "Image-Quality-based Adaptive Face Recognition," IEEE Transactions on Instrumentation and Measurement, April 2010, vol 59, issue 4, pp. 805-813.
Sharif M, Ayub K, Sattar D and Raza M., "Real Time Face Detection", Sindh University Research Journal (Science Series), vol. 44(4), 597- 600, 2012.
Shih-Ming Huang and Jar-Ferr Yang, "Improved discriminant nearest feature space analysis for variable lighting face recognition", IEEE International Symposium on Circuits and Systems, 2013, pp. 2984 - 2987.
Sujatha B M, K Suresh Babu, K B Raja and Venugopal K R "Hybrid Domain based Face Recognition using DWT, FFT and Compressed CLBP" International Journal of Image processing, Vol 9, Issue 5, pp 283-303, 2015.
T.Ahonen, A. Hadid, M. Pietikainen, "Face Description with Local Binary Patterns: Application to Face Recognition", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 12, pp. 2037-2041, Dec 2006.
Taif Alobaidi and Wasfy B. Mikhael, "Face Recognition System based on Features Extracted from Two Domains", IEEE International Midwest Symposium on Circuits and Systems, pp. 977-980, 2017.
Thamizharasi Ayyavoo and Jayasudha John Suseela "Illumination pre-processing method for face recognition using 2D DWT and CLAHE," International Journal of IET Biometrics, vol 7, issue 4, pp 380-390, 2018.
The ORL Database of Faces, AT & T (Olivetti) Research Laboratories, Cambridge, U.K.
Varsha Patil andTanuja Sarode, "Image Hashing Using DWT-CSLBP", Journal of Computers, vol. 14, no. 3, pp. 210-222, 2019.
Vikash, and Rajesh Parihar, "Comparison of DFT and Wavelet based Image Modification Techniques", International Journal of Computer Science and Mobile Computing, vol 4, issue 8, pp 61-65, Aug 2015.
W. Yu, L. Gan, S. Yang, Y. Ding, P. Jiang, J. Wang and S. Li, "An Improved LBP Algorithm for Texture and Face Classification", Springer Verlag Journal on Signal, Image and Video Processing, vol.8, no.1, pp.155-161, Dec 2014.
Yale University, 'The Yale Face Database', 1997. [Online]. Available:http://cvc.cs.yale.edu/cvc/projects/yalefaces/yalefaces.html.
Yuanyuan Ding, Qin Zhao, Baoqing Li, and Xiaobing Yuan, "Facial Expression Recognition from Image Sequence based on LBP and Taylor Expansion", IEEE Access Special Section on Sequential Data Modeling and Its Emerging Applications, Vol. 5, pp.19409-19419, 2017.
Yuqi Pan and Mingyan Jiang, "Kernel Low-Rank Embedding Dictionary Learning for Race Rrecognition", International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, 2017, pp. 2330-2333.
Zied Bannour Lahaw, Dhekra Essaidani and Hassene Seddik, "Robust Face Recognition Approaches Using PCA, ICA, LDA Based on DWT, and SVM algorithms" Forty First IEEE International Conference on International Conference on Telecommunications and Signal Processing (TSP), Jul 2018, pp 413-417.
Mr. Vasantha Kumara M.
Department of CSE, Govt. SKSJ Technological Institute, Bangalore-01 - India
cmn.vasanth@gmail.com
Professor Mohammed Rafi
Department of Studies/CSE, University BDT College of Engineering, Davangere - India


CREATE AUTHOR ACCOUNT
 
LAUNCH YOUR SPECIAL ISSUE
View all special issues >>
 
PUBLICATION VIDEOS