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A novel OCR system for calculating handwritten Persian arithmetic expressions

Khalighi, S ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/ICMLA.2009.83
  3. Abstract:
  4. In this paper, we propose a novel OCR system which can recognize and calculate handwritten Persian arithmetic expressions without using a keyboard or a memory to store the intermediate results. Our system is composed of two major phases: character recognition and calculation. The recognition phase is based on a new approach for feature extraction followed by a Fuzzy Support Vector Machines (FSVMs) as the classifier. In calculation phase a simple algorithm is used for calculating the recognized arithmetic expressions. The performance of the system was evaluated on a database consisting of 3400 digits and symbols written by 20 different people. 92 percent accuracy in recognition proves the good performance of the proposed system. © 2009 IEEE
  5. Keywords:
  6. Arithmetic expression ; Digit recognition ; Fuzzy support vector machine ; Intermediate results ; New approaches ; Persians ; Phase A ; Simple algorithm ; Feature extraction ; Gears ; Multilayer neural networks ; Optical character recognition ; Support vector machines
  7. Source: 8th International Conference on Machine Learning and Applications, ICMLA 2009, 13 December 2009 through 15 December 2009 ; 2009 , Pages 755-758 ; 9780769539263 (ISBN)
  8. URL: http://ieeexplore.ieee.org/document/5381313