Feature sets evaluation for handwritten word recognition
Feature sets evaluation for handwritten word recognition
De Oliveira, José J. and De Carvalho, João M. and De Freitas, Cinthia O.A. and Sabourin, Robert
Proceedings – International Workshop on Frontiers in Handwriting Recognition, IWFHR 2002
Abstract : This paper presents a baseline system used to evaluate feature sets for word recognition. The main goal is to determine an optimum feature set to represent the handwritten names for the months of the year in Brazilian Portuguese language. Three kinds of features are evaluated: perceptual, directional and topological. The evaluation shows that taken in isolation, the perceptual feature set produces the best results for the lexicon used. These results can be further improved combining the feature sets. The baseline system developed obtains an average recognition rate of 87%. This can be considered a good result considering that no explicit segmentation is performed. © 2002 IEEE.
