Handwritten Character Recognition Systems Using Image-Fusion and Fuzzy Logic

  • Rupsa Chakraborty
  • Jaya Sil
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)


To date, image segmentation is used as a vital step to developing handwritten character recognition systems. In the paper, image segmentation has been avoided by applying image fusion and fuzzy method to recognize handwritten characters. At first, several digital images corresponding to each handwritten character are fused to generate patterns, which are stored in 10×10 matrices, irrespective of the size of the images. The character to be recognized is matched with each pattern and the best match pattern is considered as the most likely choice. In the second phase of the work subjective judgment using fuzzy logic has been incorporated to improve the recognition rate where Gaussian distribution function, with varied mean and standard deviation are considered as fuzzy membership functions. Several binary images have been tested to demonstrate the effectiveness of the proposed system.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Rupsa Chakraborty
    • 1
  • Jaya Sil
    • 1
  1. 1.Department of Computer Science and TechnologyBengal Engineering and Science UniversityShibpur, HowrahIndia

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