Neural network face recognition using statistical feature and skin texture parameters

El‐Khamy, Said E.; Abdel-Alim, O.; Saii, Mariam

doi:10.1109/nrsc.2001.929222

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Multilayer Perceptron1

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Cited by 3 publications

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“…Artificial neural networks has also shown great efficiency in the field of image processing and pattern recognition, such as to recognize face [19] or any character [20]. One can create an artificial neural network in a computer by simply simulating the neural model of the human brain.…”

Section: Multilayer Perceptronmentioning

confidence: 99%

Merging Segmentation Capabilities of Independent Classifiers

Gul¹,

Hassan²,

Ahmad³

et al. 2013

IJCA

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In the modern era of computer and technology, images and videos play a vital role. Therefore, there is always a need for robust skin detection system in order to cope with the intolerable and objectionable contents. In this paper, an efficient method has been implemented for skin detection, which detects the skin in different images under different environmental conditions. We have used the two machine learning approaches i.e. Random Forests and Multilayer perceptron for skin detection. We have also then combined the results of these two approaches used. We have used total of 554 images in our experiments.

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Section: Multilayer Perceptronmentioning

confidence: 99%