Recognition of Ultra Low Resolution Word Images Using HMMs

Author:

Einsele Farshideh,Ingold Rolf,Hennebert Jean

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Antonacopoulos, A., Karatzas, D., Lopetz, J.: Accessing textual information embedded in internet images. In: Proceedings of Electronic Imaging, Internet Imaging II, San Jose, California, USA (Jan. 2001)

2. Lopresti, D., Zhou, J.: Locating and recognizing text in www images. In: Information Retrieval, 2(2/3). (May 2000) 177–206

3. Antonacopoulos, A., Karatzas, D.: Text extraction from web images based on a split-and-merge segmentation method using color perception. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR2004), Cambridge, UK (August 23–26, 2004)

4. Perantonis, S., Gatos, B., Maragos, V.: A novel web image processing algorithm for text area identification that helps commercial ocr engines to improve their web recognition accuracy. In: Proceedings of the second International Workshop on Web Document Analysis, Edinburgh, United Kingdom (August 3, 2003)

5. Marti, U.V., Bunke, H.: Using a statistical language model to improve the performance of a hmm-based cursive handwriting recognition system. In: Int. Journal of Pattern Recognition and Art. intelligence, 15. (2001) 65–90

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