evaluation of different feature sets in an ocr free method for word spotting in printed documents
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.
keyword spotting document indexing document retrieval