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In this paper, a complete database of handwritten atomic Odia characters is suggested. The first version of the database has been modeled and named OHCSv1.0 (Odia handwritten character set). The database comprises of 17,100 transcribed characters, each collected twice from 150 unique people at different point of time. Each character has 300 number of occurrences. The character images are standardized...
The work proposed in this paper is an attempt to develop two recognizers for Odia handwriting based on basic transformation schemes and compares their pros and cons. Both the recognizers put emphasis on exploiting the inherent characteristics of the Odia numeral images. The proposed method analyzes the use of Discrete Cosine Transformation (DCT) and Discrete Wavelet Transformation (DWT) for this purpose...
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