Comparing Character Recognition Based Approach with Feature Matching Based Approach for Digital Ink Search

Abstract

This paper presents a character recognition based approach to search for a keyword in on-line handwritten Japanese text. It employs an on-line character recognizer or an off-line recognizer, produces recognition candidates and search for a keyword in the lattice of the candidates. This paper also presents a feature matching based approach employing on-line features or off-line features. We compare the above two approaches and conclude that the character recognition based approach yields superior performance compared to the feature-matching-based approach.