A Database for Handwritten Text Recognition Research
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Applied Computational Intelligence and Soft Computing
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Three image databases of handwritten isolated numerals of three different Indian scripts namely Devnagari, Bangla and Oriya are described in this paper. Grayscale images of 22556 Devnagari numerals written by 1049 persons, 12938 Bangla numerals written by 556 persons and 5970 Oriya numerals written by 356 persons form the respective databases. These images were scanned from three different kinds of handwritten documents postal mails, job application form and another set of forms specially designed by the collectors for the purpose. The only restriction imposed on the writers is to write each numeral within a rectangular box. These databases are free from the limitations that they are neither developed in laboratory environments nor they are non-uniformly distributed over different classes. Also, for comparison purposes, each database has been properly divided into respective training and test sets.