Developing a General-Purpose Turkish Handwritten Recognition System using a Large Lexicon

Funding Agency: Bogazici University Research Fund, BAP (Project 09A107D)

Project Manager: Tunga Güngör

Dates: 2009-2011

The aim of this project was to develop algorithms for identifying patterns in periodic sequences and applying these algorithms to handwritten character recognition problem. Handwritten character recognition is usually divided into two groups: with segmentation (general purpose) and without segmentation (special purpose).

In this work, instead of these methods, we applied a cognitive approach that became popular recently. As the short sequences obtained from each handwritten sample are combined, a periodic sequence is generated. These sequences are learnt and matched using compression algorithms.