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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/ISSPIT.2009.5407555
  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 research is composed of two major phases: character recognition and calculation. The recognition phase is based on a new approach for feature extraction. Fuzzy Support Vector Machines (FSVMs) are employed as the classifier. In calculation phase a simple algorithm is used for calculating the recognized arithmetic expression. The performance of the system is 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 our system. ©2009 IEEE
  5. Keywords:
  6. Optical character recognition (OCR) ; Arithmetic expression ; Digit recognition ; Fuzzy support vector machine (FSVM) ; Intermediate results ; New approaches ; Persians ; Phase A ; Simple algorithm ; Feature extraction ; Gears ; Information technology ; Multi-layer neural networks ; Optical character recognition ; Signal processing ; Support vector machines
  7. Source: IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009, 14 December 2009 through 16 December 2009 ; 2009 , Pages 277-282 ; 9781424459506 (ISBN)
  8. URL: http://ieeexplore.ieee.org/document/5407555/?reload=true