A Dataset of Online Handwritten Assamese

Abstract

This paper describes the Tezpur University dataset of online handwritten Assamese characters. The online data acquisition process involves the capturing of data as the text is written on a digitizer with an electronic pen. A sensor picks up the pen-tip movements, as well as pen-up/pen-down switching. The dataset contains 8,235 isolated online handwritten Assamese characters. Preliminary results on the classification of online handwritten Assamese characters using the above dataset are presented in this paper. The use of the support vector machine classifier and the classification accuracy for three different feature vectors are explored in our research.

Document Analysis and Recognition: A survey

“…Off WI [351], Writer demographic classification [352]- [354] Assamese Aksharas [389] Assamese 147 I On CR [389] Assamese DB [390] Assamese 8235 On CR [212] BanglaWriting [391] Bangla 21,234 32,787 Off OCR [19], WI [31], WS BN-HTRd Bangla 788 Off Rec, WS, WSeg, LS Numerals DB [193] Bangla, Devanagari 642 22556De, 23392Ba…”