MATLAB Version used: R2009b, R2010a
- FERET - 100 and 1000 subjects [fa and fb set]
- Indian Face Database - 40 subjects
- In-house - 60 subjects
- Step 1: Create filters and save in 'filters' folder
- Step 2: Convolve gallery/probe images using appropriate Gabor filter of choice
- Step 3: Create lgbp of gallery/probe images from the convolved images
- Step 5: Create local histogram sequence of lgbp images and store them in 'lh' folder as (gallery and probe as .mat)
- Step 6: Perform appropriate distance measure (histogram intersection/euclidean/cityblock) between face images, highest score is the matched image
- Step 7: Store result in 'results' folder
| Name of Function | Description |
|---|---|
| LogGaborWavelet | The log-Gabor wavelet function |
| create_gcc_filter | Create Gabor orient=concat,scale=concat filter |
| create_gcs_filter | Create Gabor orient=concat,scale=sum filter |
| create_gcv_filter | Create Gabor orient=concat,scale={0,..4} filter |
| create_gmuc_filter | Create Gabor orient={0,..,7},scale=concat filter |
| create_gmus_filter | Create Gabor orient={0,..,7},scale=sum filter |
| create_gmuv_filter | Create Gabor orient={0,..,7},scale{0,..,4} filter |
| create_gsc_filter | Create Gabor orient=sum,scale=concat filter |
| create_gss_filter | Create Gabor orient=sum,scale=sum filter |
| create_gsv_filter | Create Gabor orient=sum,scale={0,..,4} filter |
| gcc_convolve | Convolve image with Gabor orient=concat,scale=concat filter |
| gcs_convolve | Convolve image with Gabor orient=concat,scale=sum filter |
| gcv_convolve | Convolve image with Gabor orient=concat,scale={0,..4} filter |
| gmuc_convolve | Convolve image with Gabor orient={0,..,7},scale=concat filter |
| gmus_convolve | Convolve image with Gabor orient={0,..,7},scale=sum filter |
| gmuv_convolve | Convolve image with Gabor orient={0,..,7},scale{0,..,4} filter |
| gsc_convolve | Convolve image with Gabor orient=sum,scale=concat filter |
| gss_convolve | Convolve image with Gabor orient=sum,scale=sum filter |
| gsv_convolve | Convolve image with Gabor orient=sum,scale={0,..,4} filter |
| efficientLGBP | Encode convolved image to LGBP |
| efficientLH | Create local histogram sequence from encoded LGBP |
| direct_matching | Generates face match score using histogram intersection/eulidean/city-block distance |
| weighted_matching | Generates weighted face match score using histogram intersection/eulidean/city-block distance |
Please cite the following papers if you're using this code. Thank you
@Article{Nouyed2016, Title = {A study on the discriminating characteristics of Gabor phase-face and an improved method for face recognition}, Author = {Nouyed, Iqbal and Poon, Bruce and Amin, M. Ashraful and Yan, Hong}, Journal = {International Journal of Machine Learning and Cybernetics}, Year = {2016}, Month = {Dec}, Number = {6}, Pages = {1115--1130}, Volume = {7}, Day = {01}, Doi = {10.1007/s13042-015-0440-8}, ISSN = {1868-808X}, Url = {http://dx.doi.org/10.1007/s13042-015-0440-8} }
@inproceedings{nouyed2011human, title={Human face recognition using weighted vote of Gabor magnitude filters}, author={Nouyed, I and Poon, B and Amin, MA and Yan, H}, booktitle={Proceedings of the 7th International Conference on Information Technology and Application, Sydney, Australia}, pages={21--24}, year={2011} }
@INPROCEEDINGS{6017000, author={I. Nouyed and B. Poon and M. A. Amin and H. Yan}, booktitle={2011 International Conference on Machine Learning and Cybernetics}, title={Face recognition accuracy of Gabor phase representations at different scales and orientations}, year={2011}, volume={4}, pages={1767-1772}, keywords={Gabor filters;face recognition;feature extraction;image representation;Gabor phase representations;different orientations;different scales;face recognition accuracy;feature representations;Educational institutions;Face;Face recognition;Gabor filters;Histograms;Kernel;Tensile stress;Face recognition;Gabor;Gabor magnitude;Gabor phase;Histogram Intersection;Local Gabor Binary Pattern}, doi={10.1109/ICMLC.2011.6017000}, ISSN={2160-133X}, month={July},}
@inproceedings{nouyed2013facial, title={Facial authentication using Gabor phase feature representations}, author={Nouyed, Iqbal and Poon, Bruce and Amin, M Ashraful and Yan, Hong}, booktitle={Proceedings of the international multiconference of engineers and computer scientists}, volume={1}, pages={413--418}, year={2013} }