An online handwriting recognition system for Turkish

Vural, Esra and Erdoğan, Hakan and Oflazer, Kemal and Yanıkoğlu, Berrin (2005) An online handwriting recognition system for Turkish. In: Conference on Document Recognition and Retrieval XII, San Jose, California, USA

[thumbnail of spie05-onlinehw.pdf] PDF

Download (244kB)


Despite recent developments in Tablet PC technology, there has not been any applications for recognizing handwritings in Turkish. In this paper, we present an online handwritten text recognition system for Turkish, developed using the Tablet PC interface. However, even though the system is developed for Turkish, the addressed issues are common to online handwriting recognition systems in general. Several dynamic features are extracted from the handwriting data for each recorded point and Hidden Markov Models (HMM) are used to train letter and word models. We experimented with using various features and HMM model topologies, and report on the effects of these experiments. We started with first and second derivatives of the x and y coordinates and relative change in the pen pressure as initial features. We found that using two more additional features, that is, number of neighboring points and relative heights of each point with respect to the base-line improve the recognition rate. In addition, extracting features within strokes and using a skipping state topology improve the system performance as well. The improved system performance is 94% in recognizing handwritten words from a 1000-word lexicon.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: online; handwriting; recognition; HMM; Turkish
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Berrin Yanıkoğlu
Date Deposited: 17 Oct 2005 03:00
Last Modified: 26 Apr 2022 08:38

Actions (login required)

View Item
View Item