Face Recognition using Neuro-Fuzzy Inference System
نویسندگان
چکیده
منابع مشابه
Face Recognition using Neuro-Fuzzy Inference System
Face recognition is the process of identifying one or more people in images or videos. It is an important part of biometric, security & surveillance system, and image indexing systems. Various face recognition techniques have been proposed in literature such as: Eigen-faces, Feature based, Hidden Markov model and Neural network based techniques. The first three techniques mostly include a phase...
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Optical character recognition (OCR) is becoming a powerful tool in the field of Character Recognition, now a days. In the existing globalized environment, OCR can play a vital role in different application fields. Basically, OCR technique converts images into editable format. This technique converts images in the form of documents such as we can edit, modify and store data more safely for long ...
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In this paper a pose invariant face recognition using neuro-fuzzy approach is proposed. Here adaptive neuro fuzzy interface system (ANFIS) classifier is used as neuro-fuzzy approach for pose invariant face recognition. In the proposed approach the preprocessing of image is done by using adaptive median filter. It removes the salt pepper noise from the original images. From these denoised images...
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ژورنال
عنوان ژورنال: International Journal of Signal Processing, Image Processing and Pattern Recognition
سال: 2014
ISSN: 2005-4254
DOI: 10.14257/ijsip.2014.7.1.31