@article{(Open Science Index):https://publications.waset.org/pdf/10003660,
	  title     = {2.5D Face Recognition Using Gabor Discrete Cosine Transform},
	  author    = {Ali Cheraghian and  Farshid Hajati and  Soheila Gheisari and  Yongsheng Gao},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, we present a novel 2.5D face recognition method based on Gabor Discrete Cosine Transform (GDCT). In the proposed method, the Gabor filter is applied to extract feature vectors from the texture and the depth information. Then, Discrete Cosine Transform (DCT) is used for dimensionality and redundancy reduction to improve computational efficiency. The system is combined texture and depth information in the decision level, which presents higher performance compared to methods, which use texture and depth information, separately. The proposed algorithm is examined on publically available Bosphorus database including models with pose variation. The experimental results show that the proposed method has a higher performance compared to the benchmark.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {10},
	  number    = {2},
	  year      = {2016},
	  pages     = {308 - 311},
	  ee        = {https://publications.waset.org/pdf/10003660},
	  url   	= {https://publications.waset.org/vol/110},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 110, 2016},
	}