Title :
A novel approach for face detection using artificial neural network
Author :
Quraishi, Md Iqbal ; Das, Goutam ; Das, Aruneema ; Dey, Prasenjit ; Tasneem, A.
Author_Institution :
Dept. of Inf. Technol., Coll. Kalyani, Kalyani, India
Abstract :
In recent time face detection is of utmost importance because for its various applications. Several approaches have been implemented to date. This paper aims towards an effort to represent a novel approach for human face recognition. The proposed system consists merging both frequency and spatial domain techniques. The proposed system selects the Region of Interest on which Ripplet Transformation is to be applied after power law transformation to calculate Standard Deviation (SD) and Mean as features. At later stage, Feed Forward Back Propagation Neural Network (FFBPNN) is used for classification and recognition purpose. The approach is tested with non face images to show its effectiveness which is around 91.67%.
Keywords :
backpropagation; face recognition; feedforward neural nets; frequency-domain analysis; image classification; transforms; FFBPNN; SD calculation; artificial neural network; face detection; feedforward backpropagation neural network; frequency domain techniques; human face recognition; mean calculation; nonface images; power law transformation; region of interest; ripplet transformation; spatial domain techniques; standard deviation calculation; Biological neural networks; Face; Face detection; Face recognition; Feature extraction; Transforms; Mean; Power Law Transform; Ripplet Transform; Standard Deviation; classification; face detection; face recognition; feature extraction; feed forward back propagation artificial neural network; interpolation;
Conference_Titel :
Intelligent Systems and Signal Processing (ISSP), 2013 International Conference on
Conference_Location :
Gujarat
Print_ISBN :
978-1-4799-0316-0
DOI :
10.1109/ISSP.2013.6526898
