Sinhala Handwriting Recognition Mechanism Using Zone Based Feature Extraction

Abstract

Identification of Sinhala characters is considerably more difficult than other wide-spoken languages because of the complex shapes and similarities that are present within characters. With the addition of modifiers to the core characters, the recognition becomes increasingly more difficult. Most of the present systems only address the identification task of core characters which has potentially less real life applicability. The proposed solution tries to identify characters with or without touching and non-touching modifiers which can be effectively used in multiple applications.