Word-wise Sinhala Tamil and English script identification using Gaussian kernel SVM

There are many documents in Srilanka where a single document page may contain Sinhala, Tamil and English texts. For OCR development of such a document page, it is better to identify different scripts present in the page and then feed the identified portion to the respective OCR module. In this paper, a SVM based technique is proposed for word-wise identification of Sinhala, Tamil and English scripts from a single document page. Structural features, topological features and water reservoir principle based features are mainly used here for the purpose. From the experiment we obtained encouraging results.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Sukalpa Chanda, Srikanta Pal, Umapada Pal
• Keywords: Computer Vision, Document, ICPR 2008, Respective Ocr Module, Single Document Page