The International Arab Journal of Information Technology (IAJIT)

..............................
..............................
..............................


Pattern Recognition Using the Concept of Disjoint Matrix of MIMO System

In many applications, it is necessary to compare two or more images to identify the originality of them. For example, verification of fake logo of an organization or fake signature of an official can be considered in this context. The cross correlation and wavelet transform are widely used techniques to compare two images but they are low sensitive to awgn noise and very small change in the image. Different learning algorithms for example Principle Component Analysis (PCA) are prevalent for this purpose at the expense of process time. In this paper we apply the concept of uncorrelated MIMO channel of wireless link on different images such that received signal vector corresponding to the largest six eigen values will reflect the characteristics of the images. In this paper, three types of images: human face with background, fingerprint and human signature are considered for identification and the proposed model shows rigidity in identification of the image under rotation and noise contamination.

 


[1] Alam M., Basak S., and Islam I., “Fingerprint Detection Applying DWT on ROI,” International Journal of Scientific and Engineering Research, vol. 3, no. 6, pp. 1-5, 2012.

[2] Azeem A., Sharif M., Raza M., and Murtaza M., “A Survey: Face Recognition Techniques under Partial Occlusion,” The International Arab Journal of Information Technology, vol. 11, no. 1, pp. 1-10, 2014.

[3] Bahrami H. and Le-Ngoc T., “Eigenstructures of MIMO Fading Channel Correlation Matrices and Optimum Linear Precoding Designs for Maximum Ergodic Capacity,” EURASIP Journal on Advances in Signal Processing, vol. 2007, no. 1, pp. 1-9, 2007.

[4] Belhumeur P., Hespanha J., and Kriegman D., “Eigenfaces vs. Fisher Faces: Recognition Using Class Specific Linear Projection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 711-720, 1997.

[5] Bolcskei H., Gesbert D., and Paulraj A., “On the Capacity of OFDM-Based Spatial Multiplexing Systems,” IEEE Transactions on Communications, vol. 50, no. 2, pp. 225-234, 2002.

[6] Chadha A., Vaidya P., and Roja M., “Face Recognition Using Discrete Cosine Transform for Global and Local Features,” in Proceeding of the International Conference on Recent Advancements in Electrical, Electronics and Control Engineering, Sivakasi, pp. 502-505, 2011.

[7] Dagher I., Sallak N., and Hazim H., “Face Recognition using the most Representative Sift Images,” International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 7, no. 1, pp. 225-236, 2014.

[8] Dashore G. and Cyril R.., “An Efficient Method or Face Recognition Using Principle Component Analysis,” International Journal of Advanced Technology and Engineering Research, vol. 2, no. 2, pp. 23-28, 2012.

[9] Dong Q., Song J., Jiang S., and Ma Y., “Eigenvalue-Based Memoryless MIMO Channel Decomposition,” in Proceeding of International Conference on Image Analysis and Signal Processing, Hangzhou, pp. 1-4, 2012. 11.522.533.544.555.56 0 0.5 1 1.5 x 10-3 link of six highest eigen value Amplitude of difference signal Signal difference corresponding to six largest Eigen value Difference of recived signal Difference of transmitted signal 11.522.533.544.555.56 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 link of six highest eigen value Amplitude of difference signal Signal difference corresponding to six largest Eigen value Difference of recived signal Difference of transmitted signal 500 The International Arab Journal of Information Technology, Vol. 14, No. 4, July 2017

[10] Goldsmith A., Jafar S., Jindal N., and Vishwanath S., “Capacity Limits of MIMO Channels,” IEEE Journal on Selected Areas in Communications, vol. 21, no. 5, pp. 684-702, 2003.

[11] Gonzalez R. and Wood R., Digital Image Processing, Pearson education, 2013.

[12] Hafed Z. and Levine M., “Face Recognition Using the Discrete Cosine Transform,” International Journal of Computer Vision, vol. 43, no. 3, pp. 167-188, 2001.

[13] Haykin S. and Moher M., Modern Wireless Communications, Pearson Education, 2005.

[14] Khan M., Cho K., Lee M., and Chung J., “A Simple Block Diagonal Precoding for Multi-User MIMO Broadcast Channels,” EURASIP Journal on Wireless Communications and Networking, vol. 1/95, pp. 1-8, 2014.

[15] Kharate G. and Patil V., “Color Image Compression Based On Wavelet Packet Best Tree,” IJCSI International Journal of Computer Science, vol. 7, no. 2, pp. 31-35, 2010.

[16] Kumar K., “Algorithm to Identify Kannada Vowels using Minimum Features Extraction Method,” International Journal of Innovative Technology and Exploring Engineering, vol. 2, no. 2, pp. 79-84, Jan. 2013.

[17] Martinez A. and Kak A., “PCA vs. LDA,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, pp. 228-233, 2001.

[18] Paulraj A. Gore D., Nabar R., and Bolcskei H., “An Overview of MIMO Communications-A Key to Gigabit Wireless,” Proceedings of IEEE, vol. 92, no. 2, pp. 198-218, 2004.

[19] Sethi J., Mishra S., Dash P., Mishra S., and Meher S., “Image Compression Using Wavelet Packet Tree,” ACEEE International Journal On Signal and Image Processing, vol. 2, no. 1, pp. 41-43, 2011.

[20] Shah J., Sharif M., Raza M., and Azeem A., “A Survey: Linear and Nonlinear PCA Based Face Recognition,” The International Arab Journal of Information Technology, vol. 10, no. 6, pp. 536- 545, 2013.

[21] Suwarno S., Subanar, Harjoko A., and Hartati S., “Fingerprint Image Segmentation Using Haar Wavelet and Self Organizing Map,” International Journal of Advanced Computer Science and Applications, vol. 4, no. 9, pp. 28- 31, 2013.

[22] Thaiyalnayaki K., Karim S., and Parmar P., “Finger Print Recogni-tion Using Discrete Wavelet Transforn,” International Journal of Computer Applications, vol. 1, no. 24, pp. 96- 100, 2010.

[23] Tohidian M., Amindavar H., and Reza A., “A DFT-Based Approximate Eigenvalue and Singular Value Decomposition of Polynomial Matrices,” EURASIP Journal on Advances in Signal Processing, vol. 93, pp. 2-16, 2013.

[24] Wang D., Miao D., and Xie C., “Best Basis- Based Wavelet Packet Entropy Feature Extraction and Hierarchical EEG Classification for Epileptic Detection,” Expert Systems with Applications, vol. 38, no. 11, pp. 14314-14320, 2011.

[25] Zhao W., Chellappa R., Rosenfeld A., and Phillips P., “Face Recognition: A Literature Survey,” ACM Computing Surveys, vol. 35, no. 4, pp. 399-458, 2003.

[26] Zheng L. and Tse D., “Diversity and Multiplexing: A Fundamental Tradeoff in Multiple-Antenna Channels,” IEEE Transactions on Information Theory, vol. 49, no. 5, pp. 1073- 1096, 2003. Pattern Recognition Using the Concept of Disjoint Matrix of MIMO System 501 Mezbahul Islam has completed his B.Sc. in Computer Science and Engineering from Jahangirnagar University, Savar, Dhaka, Bangladesh in 2014. His research interests include Wireless Communication, Image and Signal Processing, Artificial Intelligence, Machine Learning, and Software Engineering. Rahmina Rubaiat received the B.Sc. degree in Computer Science and Engineering from Jahangirnagar University, Savar, Dhaka, Bangladesh in 2014. Her research interests include Discrete Math, Machine Learning and Image Processing, Signal Processing, Artificial Intelligence, and Computer Networks. Imdadul Islam has completed his B.Sc. and M.Sc Engineering in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology, Dhaka, Bangladesh in 1993 and 1998 respectively and has completed his Ph.D degree from the Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh in the field of network traffic engineering in 2010. He is now working as a Professor at the Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh. Previously, he worked as an Assistant Engineer in Sheba Telecom (Pvt.) LTD (A joint venture company between Bangladesh and Malaysia, for Mobile cellular and WLL), from Sept.1994 to July 1996. Dr Islam has a very good field experience in installation of Radio Base Stations and Switching Centers for WLL. His research field is network traffic, wireless communications, wavelet transform, OFDMA, WCDMA, adaptive filter theory, ANFIS and array antenna systems. He has more than 130 research papers in national and international journals and conference proceedings. Mostafizur Rahaman is pursuing PhD in the field of Telecommunication. He has received M.Sc. degree from Stuttgart University at Stuttgart, Germany in Information Technology (INFOTECH) in the branch of Embedded System Engineering in 2009 and B.Sc. degree in Electronics and Computer Science, from Jahangirnagar University, Savar, Dhaka, Bangladesh in 2003. Since 2004, he is a faculty member having current Designation “Associate Professor” in the Department of Computer Science and Engineering of Jahangirnagar University, Savar, Dhaka, Bangladesh. During his graduation, he worked at BOSCH (biggest automobile company in Germany) as Trainee engineer (Industrial internship) as part of his graduate degree in embedded System Engineering. Currently, his research focuses on telecommunication, Embedded and Parallel Systems, Reconfigurable Computing, Multicore Architecture and Software Engineering. Mohamed Ruhul Amin He has received his B.S. and M.S. degrees in Physics from Jahangirnagar University, Dhaka, Bangladesh in 1984 and 1986 respectively and his Ph.D. degree in Plasma Physics from the University of St. Andrews, U. K. in 1990. He is a Professor of Electronics and Communications Engineering at East West University, Dhaka, Bangladesh. He served as a Post-Doctoral Research Associate in Electrical Engineering at the University of Alberta, Canada, during 1991-1993. He was an Alexander von Humboldt Research Fellow at the Max-Planck Institute for Extraterrestrial Physics at Garching/Munich, Germany during 1997-1999. Dr. Amin awarded the Commonwealth Postdoctoral Fellowship in 1997. Besides these, he has also received several awards for his research, including the Bangladesh Academy of Science Young Scientist Award for the year 1996 and the University Grants Commission Young Scientist Award for 1996. He is a member of the IEEE. His current research is in the broad field of wireless communications and theoretical plasma physics.