Research Area:  Machine Learning
To enhance the accuracy of object recognition, various combination of recognition algorithms are used in recent literature. In this paper coherence of Discrete Wavelet Transform (DWT) is combined with four different algorithms: error vector of principal component analysis (PCA), eigen vector of PCA, eigen vector of Linear Discriminant Analysis (LDA) and Convolutional Neural Network (CNN) then combination of four results are done using entropy of detection probability and Fuzzy system. From this research the accuracy of recognition is found dependent on image and diversity of database. The combined method of the paper provides recognition rate of 89.56% for the worst case and 93.34% for the best case both can be said better in comparison with the previous works where individual method has been implemented on a specific set of images.
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Author(s) Name:  Fahima Tabassum,Md. Imdadul Islam,Risala Tasin Khan,M.R. Amin
Journal name:  Journal of King Saud University - Computer and Information Sciences
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Publisher name:  Elsevier
DOI:  10.1016/j.jksuci.2020.02.002
Volume Information:  21 February 2020
Paper Link:   https://www.sciencedirect.com/science/article/pii/S1319157819309395