An OCR Free Method for Word Spotting in Printed Documents: the Evaluation of Different Feature Sets

نویسندگان

  • Israel Rios
  • Alceu de Souza Britto
  • Alessandro L. Koerich
  • Luiz Eduardo Soares de Oliveira
چکیده

An OCR free word spotting method is developed and evaluated 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 processing time. For this purpose, a complete OCRfree 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.

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عنوان ژورنال:
  • J. UCS

دوره 17  شماره 

صفحات  -

تاریخ انتشار 2011