Implementing Word Retrieval in Handwritten Documents Using a Small Dataset
Y. Liang, Richard Guest, Michael C. Fairhurst · 2012
A novel approach to the problem of keyword retrieval in cursive handwritten documents is introduced in this work. Two issues are addressed: small dataset size and uneven sample distribution across the character set. The proposed strategies utilise graphemes (fragments of a handwritten word) to implement a recognition model which is subsequently used to form the feature model for the query word.