Evaluation of different feature sets in an OCR free method for word spotting in printed documents
Israel Rios, Alceu S. Britto, Alessandro L. Koerich, Luiz S. Oliveira · 2010
This paper presents the evaluation of tree feature sets in an OCR free word spotting method under a strong experimental protocol. Different feature sets are evaluated under the same experimental conditions. In addition, a tuning process in the document segmentation step is proposed which provides a significant reduction in terms of the processing time. For this purpose, a complete OCR-free method for word spotting in printed documents was implemented, and a document database containing document images and their corresponding ground truth text files was created. A strong experimental protocol based on 800 document images allows us to compare the results of the three feature sets used to represent the word image.