%0 Journal Article %1 das2010enhanced %D 2010 %E Das, Dr. Vinu V %J International Journal on Signal & Image Processing %K Face_Recognition Modular_PCA PCA %N 2 %P 5 %T An enhanced face recognition technique based on Overlapped Modular PCA approach for cropped Log-polar images %U http://doi.searchdl.org/01.IJSIP.1.2.06 %V 1 %X An algorithm for human face recognition, which is based on Overlapped Modular Principal Component Analysis Approach on the Cropped Log-polar images, is presented in this paper. In this technique all the image are divided into sub-images called modules and to avoid loss of features at division lines, overlapped sub-images are taken through the division lines. This method is applied on the Cropped Log-polar images. In this method all the images are converted into log-polar form and from all those transformed images only the facial areas are extracted and they are called as cropped log-polar images. Since some local features do not vary with orientations, poses and illumination variations it is expected that the proposed method is capable to cope up with these variations. Recognition Rates from experimental results show the superiority of the present method over Modular PCA and the conventional PCA methods in tackling face images with different orientations, pose variations and changes in illuminations.

@article{das2010enhanced, abstract = {An algorithm for human face recognition, which is based on Overlapped Modular Principal Component Analysis Approach on the Cropped Log-polar images, is presented in this paper. In this technique all the image are divided into sub-images called modules and to avoid loss of features at division lines, overlapped sub-images are taken through the division lines. This method is applied on the Cropped Log-polar images. In this method all the images are converted into log-polar form and from all those transformed images only the facial areas are extracted and they are called as cropped log-polar images. Since some local features do not vary with orientations, poses and illumination variations it is expected that the proposed method is capable to cope up with these variations. Recognition Rates from experimental results show the superiority of the present method over Modular PCA and the conventional PCA methods in tackling face images with different orientations, pose variations and changes in illuminations.}, added-at = {2012-10-03T10:02:06.000+0200}, biburl = {https://www.bibsonomy.org/bibtex/2bceb91d99655d113cb67a4539a9fd57e/ideseditor}, editor = {Das, Dr. Vinu V}, interhash = {ecfc5c5ffc01d3faf34bd0ec0a7c5ab2}, intrahash = {bceb91d99655d113cb67a4539a9fd57e}, journal = {International Journal on Signal & Image Processing }, keywords = {Face_Recognition Modular_PCA PCA}, month = {July}, number = 2, pages = 5, timestamp = {2012-10-03T10:02:06.000+0200}, title = {An enhanced face recognition technique based on Overlapped Modular PCA approach for cropped Log-polar images}, url = {http://doi.searchdl.org/01.IJSIP.1.2.06}, volume = 1, year = 2010 }