1. Human face recognition with combination of DWT and machine learning
- Author
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Risala Tasin Khan, Md. Imdadul Islam, Muhammad Amin, and Fahima Tabassum
- Subjects
Discrete wavelet transform ,General Computer Science ,Computer science ,business.industry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Cognitive neuroscience of visual object recognition ,020206 networking & telecommunications ,Pattern recognition ,02 engineering and technology ,Linear discriminant analysis ,Facial recognition system ,Convolutional neural network ,ComputingMethodologies_PATTERNRECOGNITION ,Computer Science::Computer Vision and Pattern Recognition ,Principal component analysis ,0202 electrical engineering, electronic engineering, information engineering ,Entropy (information theory) ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,Eigenvalues and eigenvectors - Abstract
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.
- Published
- 2022
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