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title

Isolated Persian/Arabic handwriting characters: Derivative projection profile features, implemented on GPUs

Credit to Download: 1 | Page Numbers 9 | Abstract Views: 69
Year: 2016
COI code: JR_JADM-4-1_002
Paper Language: English

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Authors Isolated Persian/Arabic handwriting characters: Derivative projection profile features, implemented on GPUs

  M. Askari - Department of Computer Engineering, University of Kashan, Kashan, Iran
  M. Asadi - Department of Computer Engineering, University of Kashan, Kashan, Iran.
  A. Asilian Bidgoli - Department of Computer Engineering, University of Kashan, Kashan, Iran.
  H. Ebrahimpour - Department of Computer Engineering, University of Kashan, Kashan, Iran.

Abstract:

For many years, researchers have studied high accuracy methods for recognizing the handwriting and achieved many significant improvements. However, an issue that has rarely been studied is the speed of these methods. Considering the computer hardware limitations, it is necessary for these methods to run in high speed. One of the methods to increase the processing speed is to use the computer parallel processing power. This paper introduces one of the best feature extraction methods for the handwritten recognition, called DPP (Derivative Projection Profile), which is employed for isolated Persian handwritten recognition. In addition to achieving good results, this (computationally) light feature can easily be processed. Moreover, Hamming Neural Network is used to classify this system. To increase the speed, some part of the recognition method is executed on GPU (graphic processing unit) cores implemented by CUDA platform. HADAF database (Biggest isolated Persian character database) is utilized to evaluate the system. The results show 94.5% accuracy. We also achieved about 5.5 times speed-up using GPU.

Keywords:

OCR, Projection Profile, Parallel Algorithms, GPU, CUDA

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COI code: JR_JADM-4-1_002

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Askari, M.; M. Asadi; A. Asilian Bidgoli & H. Ebrahimpour, 2016, Isolated Persian/Arabic handwriting characters: Derivative projection profile features, implemented on GPUs, Journal of Artificial Intelligence & Data Mining 4 (1), https://www.civilica.com/Paper-JR_JADM-JR_JADM-4-1_002.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Askari, M.; M. Asadi; A. Asilian Bidgoli & H. Ebrahimpour, 2016)
Second and more: (Askari; Asadi; Asilian Bidgoli & Ebrahimpour, 2016)
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Scientometrics

The University/Research Center Information:
Type: state university
Paper No.: 5027
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