MSNN based techniques for Face and Eye Recognition
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 1
Abstract
The accurate technique of face recognition effects the performance of a face detection system. An accurate eye localization system is required for better results. There are various techniques for Face and eye detection but MSNN technique is used for the experiment. This technique consist of different stages: the first stage extracts features using morphological operations; the second stage performs classification of outputs from the last feature extraction layer. For Eye detection we conducted another experiment by choosing different images .All the images are tested by sequential programme. Hit Miss Transform is used for grey scale images to extract the information from face. MSNN is well efficient from other techniques. MSNN gives us a proper approach for images that are poor in visibility. The combination of results gives us proper face and eye detection results.
Authors and Affiliations
Ramit Lala, , Alok Kumar Singh
Keywords
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