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A Study on Character Recognition using Wavelet Transformation and Moment
Journal of The Korea Society of Computer and Information
Abbr :
JKSCI
2010, 15(10), pp.49-57
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
2010, 15(10), pp.49-57
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
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In this thesis, We studied on hand-written character recognition, that characters entered into a digital input device and remove noise and separating character elements using preprocessing. And processed character images has done thinning and 3-level wavelet transform for making normalized image and reducing image data. The structural method among the numerical Hangul recognition methods are suitable for recognition of printed or hand-written characters because it is usefull method deal with distortion. so that method are applied to separating elements and analysing texture. The results show that recognition by analysing texture is easily distinguished with respect to consonants. But hand-written characters are tend to decreasing successful recognition rate for the difficulty of extraction process of the starting point , of interconnection of each elements, of mis-recognition from vanishing at the thinning process, and complexity of character combinations. Some characters associated with the separation process is more complicated and sometime impossible to separating elements. However, analysis texture of the proposed character recognition with the exception of the complex handwritten is aware of the character.
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