Abstract
This paper demonstrates the importance of various pre-processing steps for the noisy character recognition system with the help of MATLAB simulated results. Image pre-processing is one of the first and foremost steps for working with images of noisy characters among handwritten characters, printed characters, online written characters or offline written character, and it can have mixed font characters, omni-font characters, boxed discrete character, spaced discrete character or pure cursive script writing. Pre-processing of such image aims at image noise reduction, image normalization, and image compression. This paper shows that there are various steps/methods of image pre-processing. The sequence and use of a particular step/method is used based on the application requirement. The simulation result presented in this paper highlights the usability of each pre-processing steps and review the commonly used methods of each preprocessing stage.
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