Generation of synthetic documents for performance evaluation of symbol recognition & spotting systems

Author:

Delalandre Mathieu,Valveny Ernest,Pridmore Tony,Karatzas Dimosthenis

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Software

Reference35 articles.

1. Greengrass, E.: Information retrieval: A survey. Tech. Rep. TR-R52-008-001, Center for architectures for data-driven information processing (CADIP), University of Maryland, US (2000)

2. Thacker N., Clark A., Barron J., Beveridge J.R., Courtney P., Crum W., Ramesh V., Clark C.: Performance characterisation in computer vision: A guide to best practices. Comput. Vis. Image Underst. 109, 305–334 (2008)

3. Muller H., Muller W., Squire D., Marchand-Maillet S., Pun T.: Performance evaluation in content-based image retrieval: Overview and proposals. Pattern Recognit. Lett. 22(5), 593–601 (2001)

4. Haralick, R.: Performance evaluation of document image algorithms. In: Workshop on Graphics Recognition (GREC), Vol. 1941 of Lecture Notes in Computer Science (LNCS), (2000), pp. 315–323

5. Chhabra, A.: Graphic symbol recognition: An overview. In: Workshop on Graphics Recognition (GREC), Vol. 1389 of Lecture Notes in Computer Science (LNCS), (1998), pp. 68–79

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