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Document Classification:A Technical Review


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1 Babu Madhav Institute of Information Technology, Uka Tarsadia University, India
     

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Document classification is used for identify the proprietary of complex document. Identify proprietary of any document is very difficult stuff in the area of image processing. There are various way to identify the proprietary of document like, based on signature, logo, seal and many more. We have searched for document classification based on logo and seal, and we surveyed literature related to our work. Majority authors used texture feature extraction author used Discrete Wavelet Transformation (DWT) and Fast Fourier Transform (FFT) for feature extraction and for classification they were used Know Nearest Neighbor (KNN), Neural Network (NN) and support vector machine (SVM).

Keywords

DWT, FFT KNN, NN, SVM.
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Abstract Views: 338

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  • Document Classification:A Technical Review

Abstract Views: 338  |  PDF Views: 4

Authors

Manish Vala
Babu Madhav Institute of Information Technology, Uka Tarsadia University, India

Abstract


Document classification is used for identify the proprietary of complex document. Identify proprietary of any document is very difficult stuff in the area of image processing. There are various way to identify the proprietary of document like, based on signature, logo, seal and many more. We have searched for document classification based on logo and seal, and we surveyed literature related to our work. Majority authors used texture feature extraction author used Discrete Wavelet Transformation (DWT) and Fast Fourier Transform (FFT) for feature extraction and for classification they were used Know Nearest Neighbor (KNN), Neural Network (NN) and support vector machine (SVM).

Keywords


DWT, FFT KNN, NN, SVM.

References