Collaborative Access to Ancient Documents-Reference-Cited by-同舟云学术

Collaborative Access to Ancient Documents

Published:2012-07 Issue:3 Volume:4 Page:34-53
ISSN:1937-9412
Container-title:International Journal of Mobile Computing and Multimedia Communications
language:en
Short-container-title:

Author:

Ben Arbia Ines Ben Messaoud¹,El Abed Haikal²,Märgner Volker²,Amiri Hamid¹

Affiliation:

1. École Nationale d’Ingénieurs de Tunis, Tunisia

2. Technische Universität Braunschweig, Germany

Abstract

With the evolution of the next generation networks several applications have emerged to be used through the web. Applications allowing the analysis and the recognition of documents are emerged to be used through Internet. Document pre-processing output may affect the efficiency of document analysis and recognition systems. In order to ameliorate the efficiency of such systems, an objective evaluation of pre-processing steps is necessary. The authors propose a new framework for automatic evaluation of binarization approaches. The evaluation of binarization approaches is based on the comparison between binary images and their ground-truths. For that reason a method for the generation of ground-truth is proposed. This method is evaluated using the benchmarking dataset DIBCO 2009. The comparison between binarization methods’ results is based on several evaluation metrics as FM and PSNR. The proposed framework is tested on printed images (250 images) from the Google-Books collection and on handwritten images (60 images) from the IAM historical database.

Publisher

IGI Global

Subject

Computer Networks and Communications

Reference30 articles.

1. Barney Smith, E. (2010). An analysis of binarization ground truth. In Proceedings of the IAPR International Workshop on Document Analysis Systems, Boston, MA (pp. 27-34).

2. Ben Messaoud, I., & El Abed, H. (2010). Automatic annotation for handwritten historical documents using Markov models. In Proceedings of the International Conference on Frontiers in Handwriting Recognition, Kalkutta, India (pp. 381-386).

3. Ben Messaoud, I., El Abed, H., Amiri, H., & Märgner, V. (2011a). A design of a preprocessing framework for large database of historical documents. In Proceedings of the Historical Document Imaging and Processing, Beijing, China (pp. 177-183).

4. Ben Messaoud, I., El Abed, H., Amiri, H., & Märgner, V. (2011b). New binarization approach based on text block extraction. In Proceedings of the International Conference on Document Analysis and Recognition, Beijing, China (pp. 1205-1209).

5. Ben Messaoud, I., El Abed, H., Amiri, H., & Märgner, V. (2011c). New method for the selection of binarization parameters based on noise features of historical document. In Proceedings of the Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data, Beijing, China (pp. 3-10).