A Novel Hybrid Face Recognition Algorithm Based On Neural Network with Fuzzy Sets
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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Research Paper | Computer Science & Engineering | India | Volume 4 Issue 8, August 2015

A Novel Hybrid Face Recognition Algorithm Based On Neural Network with Fuzzy Sets

Raunil Singh, Kiran Gupta

Biometrics is the science and technology of measuring and analysing biological data. Face Detection is one of the type of biometric technique which refers to the detection of face automatically by computerised systems by taking a look at his/her face. It is a popular feature used in biometrics, digital cameras and social tagging. Face detection and recognition has gained more research attentions in last few years. The different types of face detection techniques algorithms have been studied and described and is followed by what changes we will make in order to develop a new hybrid algorithm for face detection technique, which will overcome the false positive result in face detection and recognition technique.

Keywords: Back propagation neural network, Face detection, Fuzzy logic, Artificial neural network, Normalise Cross-Correlation, Principle Discriminate analysis, adaboost, Moire Pattern

Edition: Volume 4 Issue 8, August 2015

Pages: 1212 - 1215

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How to Cite this Article?

Raunil Singh, Kiran Gupta, "A Novel Hybrid Face Recognition Algorithm Based On Neural Network with Fuzzy Sets", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB157614, Volume 4 Issue 8, August 2015, 1212 - 1215

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