Google Scholar: Citations 353, h-index 12, i10-index 13
Journal ISI Papers
1. S. M. Lajevardi, “Structural similarity classifier for facial expression recognition”, Signal, Image and Video Processing, vol. 8, no. 6, pp. 1103 1110 , 2014.
2. S. M. Lajevardi, A. Arakala, S. A. Davis and K. J. Horadom, “Hand vein authentication using biometric graph matching”, IET Biometrics, pp. 112, 2014.
3. S. M. Lajevardi, A. Arakala, S. A. Davis and K. J. Horadom, “Retina verification system based on biometric graph matching”, IEEE Transactions on Image Processing, vol. 22, no. 9, pp. 3625-3635, 2013, (IF: 3.2).
4. S. M. Lajevardi and H. R. Wu, “Facial expression recognition in perceptual color space”, IEEE Transactions on Image Processing, vol 21, no. 8, pp. 3721-3733, 2012, (IF:3.2).
5. S. M. Lajevardi and Z. M. Hussain, “Automatic facial expression recognition: feature extraction and selection,” Signal, Image and Video Processing, vol. 6, pp. 159-169, 2012.
6. S. M. Lajevardi and Z. M. Hussain, “Higher order orthogonal moments for invariant facial expression recognition,” Digital Signal Processing , vol. 20, pp. 1771-1779, 2010. http://202.114.89.42/resource/pdf/5584.pdf
7. S. M. Lajevardi and Z. M. Hussain, “Novel higher-order local autocorrelation-like feature extraction methodology for facial expression recognition,” IET Image Processing, vol. 4, pp. 114-119, 2010.
8. S. M. Lajevardi and Z. M. Hussain, “Hybrid feature extraction for facial expression recognition,” Advances in Modelling Series B: Signal Processing and Pattern Recognition, vol. 53, pp. 34-50, 2009.
9. S. M. Lajevardi and Z. M. Hussain, “Feature extraction for facial expression recognition based on hybrid face regions,” Advances in Electrical and Computer Engineering, vol. 9, pp. 63-67, 2009.
Conference papers
10. S. M. Lajevardi and Z. M. Hussain, “A novel Gabor filter selection based on spectral difference and minimum error rate for facial expression recognition,” In International Conference on Digital Image Computing: Techniques and Applications (DICTA 2010), Sydney, Australia, 2010, pp. 137-140.
11. S. M. Lajevardi and Z. M. Hussain, “Emotion recognition from color facial images based on multilinear image analysis and log-Gabor filters,” In 25th International Conference on Image and Vision Computing New Zealand (IVCNZ 2010), Queenstown, New Zealand, 2010, pp. 10-14.
12. S. M. Lajevardi and Z. M. Hussain, “Contourlet structural similarity for facial expression recognition,” In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), Dallas, USA, 2010, pp. 1118-1121.
13. S. M. Lajevardi and Z. M. Hussain, “Feature selection for facial expression recognition based on mutual information,” In 5th IEEE GCC Conference & Exhibition, Kuwait, Kuwait, 2009, pp. 1-5.
14. S. M. Lajevardi and Z. M. Hussain, “Local correlation for noisy facial expression images,” In International Symposium on Bioelectronics and Bioinformatics, Melbourne, Australia, 2009, pp. 64-67.
15. S. M. Lajevardi and Z. M. Hussain, “Zernike moments for facial expression recognition,” In International Conference on Communication, Computer and Power (ICCCP’09), Muscat, Oman, 2009, pp. 378-381.
16. S. M. Lajevardi and Z. M. Hussain, “Facial expression recognition using log-Gabor filters and local binary pattern operators,” In International Conference on Communication, Computer and Power (ICCCP’09), Muscat, Oman, 2009, pp. 349-353.
17. S. M. Lajevardi and Z. M. Hussain, “Facial expression recognition: Gabor filters versus higher-order correlators,” In International Conference on Communication, Computer and Power (ICCCP’09), Muscat, Oman, 2009, pp. 354-358.
18. S. M. Lajevardi and Z. M. Hussain, “Local feature extraction methods for facial expression recognition,” In 17th European Signal Processing Conference (EUSIPCO 2009), Glasgow, Scotland, 2009, pp. 60-64.
19. S. M. Lajevardi and Z. M. Hussain, “Feature selection for facial expression recognition based on optimization algorithm,” In 2nd International Workshop on Nonlinear Dynamics and Synchronization (INDS’09), Klagenfurt, Austria, 2009, pp. 182-185.
20. S. M. Lajevardi, K. L. Neville, and Z. M. Hussain, “Facial expression recognition over FFT-OFDM,” In International Conference on Advanced Technologies for Communications (ATC’09), Haiphong, Vietnam, 2009, pp. 35-38.
21. S. M. Lajevardi, K. Abdullah, and Z. M. Hussain, “Modulation comparison over OFDM channel for facial expression recognition,” In International Conference on Advanced Technologies for Communications (ATC’09), Haiphong, Vietnam, 2009, pp. 137-140.
22. K. Abdullah, S. M. Lajevardi, and Z. M. Hussain, “QAM modulations over wavelet based OFDM channel for facial expression recognition,” In Australasian Telecommunication Networks and Applications Conference (ATNAC), 2009, pp. 1-5.
23. S. M. Lajevardi and M. Lech, “Averaged Gabor filter features for facial expression recognition,” In Digital Image Computing: Techniques and Applications (DICTA ’08), Canberra, Australia, 2008, pp. 71-76.
24. S. M. Lajevardi and M. Lech, “Facial expression recognition using neural networks and log-Gabor filters,” In Digital Image Computing: Techniques and Applications (DICTA ’08), Canberra, Australia, 2008, pp. 77-83.
25. S. M. Lajevardi and M. Lech, “Facial expression recognition from image sequences using optimized feature selection," In 23rd International Conference on Image and Vision Computing New Zealand (IVCNZ 2008), Christchurch, New Zealand, 2008, pp. 1-6.
Journal ISI Papers
1. S. M. Lajevardi, “Structural similarity classifier for facial expression recognition”, Signal, Image and Video Processing, vol. 8, no. 6, pp. 1103 1110 , 2014.
2. S. M. Lajevardi, A. Arakala, S. A. Davis and K. J. Horadom, “Hand vein authentication using biometric graph matching”, IET Biometrics, pp. 112, 2014.
3. S. M. Lajevardi, A. Arakala, S. A. Davis and K. J. Horadom, “Retina verification system based on biometric graph matching”, IEEE Transactions on Image Processing, vol. 22, no. 9, pp. 3625-3635, 2013, (IF: 3.2).
4. S. M. Lajevardi and H. R. Wu, “Facial expression recognition in perceptual color space”, IEEE Transactions on Image Processing, vol 21, no. 8, pp. 3721-3733, 2012, (IF:3.2).
5. S. M. Lajevardi and Z. M. Hussain, “Automatic facial expression recognition: feature extraction and selection,” Signal, Image and Video Processing, vol. 6, pp. 159-169, 2012.
6. S. M. Lajevardi and Z. M. Hussain, “Higher order orthogonal moments for invariant facial expression recognition,” Digital Signal Processing , vol. 20, pp. 1771-1779, 2010. http://202.114.89.42/resource/pdf/5584.pdf
7. S. M. Lajevardi and Z. M. Hussain, “Novel higher-order local autocorrelation-like feature extraction methodology for facial expression recognition,” IET Image Processing, vol. 4, pp. 114-119, 2010.
8. S. M. Lajevardi and Z. M. Hussain, “Hybrid feature extraction for facial expression recognition,” Advances in Modelling Series B: Signal Processing and Pattern Recognition, vol. 53, pp. 34-50, 2009.
9. S. M. Lajevardi and Z. M. Hussain, “Feature extraction for facial expression recognition based on hybrid face regions,” Advances in Electrical and Computer Engineering, vol. 9, pp. 63-67, 2009.
Conference papers
10. S. M. Lajevardi and Z. M. Hussain, “A novel Gabor filter selection based on spectral difference and minimum error rate for facial expression recognition,” In International Conference on Digital Image Computing: Techniques and Applications (DICTA 2010), Sydney, Australia, 2010, pp. 137-140.
11. S. M. Lajevardi and Z. M. Hussain, “Emotion recognition from color facial images based on multilinear image analysis and log-Gabor filters,” In 25th International Conference on Image and Vision Computing New Zealand (IVCNZ 2010), Queenstown, New Zealand, 2010, pp. 10-14.
12. S. M. Lajevardi and Z. M. Hussain, “Contourlet structural similarity for facial expression recognition,” In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), Dallas, USA, 2010, pp. 1118-1121.
13. S. M. Lajevardi and Z. M. Hussain, “Feature selection for facial expression recognition based on mutual information,” In 5th IEEE GCC Conference & Exhibition, Kuwait, Kuwait, 2009, pp. 1-5.
14. S. M. Lajevardi and Z. M. Hussain, “Local correlation for noisy facial expression images,” In International Symposium on Bioelectronics and Bioinformatics, Melbourne, Australia, 2009, pp. 64-67.
15. S. M. Lajevardi and Z. M. Hussain, “Zernike moments for facial expression recognition,” In International Conference on Communication, Computer and Power (ICCCP’09), Muscat, Oman, 2009, pp. 378-381.
16. S. M. Lajevardi and Z. M. Hussain, “Facial expression recognition using log-Gabor filters and local binary pattern operators,” In International Conference on Communication, Computer and Power (ICCCP’09), Muscat, Oman, 2009, pp. 349-353.
17. S. M. Lajevardi and Z. M. Hussain, “Facial expression recognition: Gabor filters versus higher-order correlators,” In International Conference on Communication, Computer and Power (ICCCP’09), Muscat, Oman, 2009, pp. 354-358.
18. S. M. Lajevardi and Z. M. Hussain, “Local feature extraction methods for facial expression recognition,” In 17th European Signal Processing Conference (EUSIPCO 2009), Glasgow, Scotland, 2009, pp. 60-64.
19. S. M. Lajevardi and Z. M. Hussain, “Feature selection for facial expression recognition based on optimization algorithm,” In 2nd International Workshop on Nonlinear Dynamics and Synchronization (INDS’09), Klagenfurt, Austria, 2009, pp. 182-185.
20. S. M. Lajevardi, K. L. Neville, and Z. M. Hussain, “Facial expression recognition over FFT-OFDM,” In International Conference on Advanced Technologies for Communications (ATC’09), Haiphong, Vietnam, 2009, pp. 35-38.
21. S. M. Lajevardi, K. Abdullah, and Z. M. Hussain, “Modulation comparison over OFDM channel for facial expression recognition,” In International Conference on Advanced Technologies for Communications (ATC’09), Haiphong, Vietnam, 2009, pp. 137-140.
22. K. Abdullah, S. M. Lajevardi, and Z. M. Hussain, “QAM modulations over wavelet based OFDM channel for facial expression recognition,” In Australasian Telecommunication Networks and Applications Conference (ATNAC), 2009, pp. 1-5.
23. S. M. Lajevardi and M. Lech, “Averaged Gabor filter features for facial expression recognition,” In Digital Image Computing: Techniques and Applications (DICTA ’08), Canberra, Australia, 2008, pp. 71-76.
24. S. M. Lajevardi and M. Lech, “Facial expression recognition using neural networks and log-Gabor filters,” In Digital Image Computing: Techniques and Applications (DICTA ’08), Canberra, Australia, 2008, pp. 77-83.
25. S. M. Lajevardi and M. Lech, “Facial expression recognition from image sequences using optimized feature selection," In 23rd International Conference on Image and Vision Computing New Zealand (IVCNZ 2008), Christchurch, New Zealand, 2008, pp. 1-6.
