Face Detection Using Backpropagation Neural Networks | Zendy

Anifuddin Azis | Zendy; Muhamad Haikal | Zendy

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Face Detection Using Backpropagation Neural Networks

Author(s) -

Anifuddin Azis,

Muhamad Haikal

Publication year - 2007

Publication title -

ijccs (indonesian journal of computing and cybernetics systems)

Language(s) - English

Resource type - Journals

eISSN - 2460-7258

pISSN - 1978-1520

DOI - 10.22146/ijccs.2274

Subject(s) - backpropagation , computer science , face (sociological concept) , artificial neural network , artificial intelligence , preprocessor , identification (biology) , face detection , enhanced data rates for gsm evolution , facial recognition system , computer vision , pattern recognition (psychology) , machine learning , social science , botany , sociology , biology

This paper summarizes a research effort in human face detection. A system to locate human faces in images, especially when used as a front-end for a human face identification system, could have many applications in the law enforcement and security professions. The approach presented here is a hybrid system using an edge deletion preprocessor and back-propagation neural networks. The method proposed successfully detected multiple faces. The results obtained are reported along with a discussion for improving the system.Keywords: Backpropagation neural networks, Edge Detection

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