Pose Invariant Face Recognition using Neuro-Fuzzy Approach
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 3
Abstract
Abstract : In this paper a pose invariant face recognition using neuro-fuzzy approach is proposed. Hereadaptive neuro fuzzy interface system (ANFIS) classifier is used as neuro-fuzzy approach for pose invariant facerecognition. In the proposed approach the preprocessing of image is done by using adaptive median filter. Itremoves the salt pepper noise from the original images. From these denoised images features are extracted.Here Principal component analysis (PCA) is used for extracting the features of an image under test. ThenANFIS classifier is used for face recognition. PCA calculate the principal components and are used by ANFISfor further process. Here in this paper combination of PCA and ANFIS is represented as PCA+ANFIS. In thepaper standard ORL face database is used for experimental results. The performance PCA+ANFIS withLDA+ANFIS and ICA+ANFIS is analyzed and compared. From experimental results it is shown thatPCA+ANFIS outperforms than other two approaches. PCA+ANFIS is also compared by existing feed forwardneural network (FFBNN) approach. The results show that proposed approach gives better outputs in terms ofaccuracy, sensitivity and specificity
Authors and Affiliations
Reecha Sharma, M. S Patterh
Keywords
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