01474nas a2200253   4500000000100000000000100001008004100002260001200043653001700055653001300072653001600085653002500101100001900126700002300145700002300168700001700191700002300208245009600231856009800327300001000425490000600435520076500441022001401206       2016                            d  c09/201610aGabor filter10aAnalysis10aRecognition10aHidden Markov Models1 aZineb Elgarrai1 aOthmane Elmeslouhi1 aMustapha Kardouchi1 aHakim Allali1 aSid-Ahmed Selouani00aOffline Face Recognition System Based on Gabor- Fisher Descriptors and Hidden Markov Models  uhttp://www.ijimai.org/JOURNAL/sites/default/files/files/2016/02/ijimai20164_1_2_pdf_27472.pdf  a11-140 v43 aThis paper presents a new offline face recognition system. The proposed system is built on one dimensional left-to- right Hidden Markov Models (1D-HMMs). Facial image features are extracted using Gabor wavelets. The dimensionality of these features is reduced using the Fisher’s Discriminant Analysis method to keep only the most relevant information. Unlike existing techniques using 1D-HMMs, in classification step, the proposed system employs 1D-HMMs to find the relationship between reduced features components directly without any additional segmentation step of interest regions in the face image. The performance evaluation of the proposed method was performed with AR database and the proposed method showed a high recognition rate for this database.  a1989-1660