%0 Journal Article %1 noauthororeditor %A Raviraj Mane, Poorva Agrawal %D 2014 %J Circuits and Systems: An International Journal (CSIJ) %K %N 2 %P 23-31 %T LITERATURE SURVEY ON SPARSE REPRESENTATION FOR NEURAL NETWORK BASED FACE DETECTION AND RECOGNITION %U http://airccse.com/csij/papers/1214csij03.pdf %V 1 %X Face detection and recognition is a challenging problem in the field of image processing. In this paper, we reviewed some of the recent research works on face recognition. Issues with the previous face recognition techniques are , time required is more for face recognition , recognition rate and database required to store the data . To overcome these problems sparse representation based classifier technique can be used .

@article{noauthororeditor, abstract = {Face detection and recognition is a challenging problem in the field of image processing. In this paper, we reviewed some of the recent research works on face recognition. Issues with the previous face recognition techniques are , time required is more for face recognition , recognition rate and database required to store the data . To overcome these problems sparse representation based classifier technique can be used .}, added-at = {2018-06-21T11:34:00.000+0200}, author = {Raviraj Mane, Poorva Agrawal}, biburl = {https://www.bibsonomy.org/bibtex/25714833be5cabbd254fd10238fa6e4df/csijjournal1821}, interhash = {a0916b5f555b7af72505e8a87a532fc6}, intrahash = {5714833be5cabbd254fd10238fa6e4df}, issn = {2349 - 2171}, journal = {Circuits and Systems: An International Journal (CSIJ)}, keywords = {}, month = {April}, number = 2, pages = {23-31}, timestamp = {2018-06-21T11:34:00.000+0200}, title = {LITERATURE SURVEY ON SPARSE REPRESENTATION FOR NEURAL NETWORK BASED FACE DETECTION AND RECOGNITION}, url = {http://airccse.com/csij/papers/1214csij03.pdf}, volume = 1, year = 2014 }