Pattern Spotting in Historical Documents Using Convolutional Models-Reference-Cited by-同舟云学术

Pattern Spotting in Historical Documents Using Convolutional Models

Published:2019-09-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th International Workshop on Historical Document Imaging and Processing
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Author:

Úbeda Ignacio¹,Saavedra Jose M.²,Nicolas Stéphane³,Petitjean Caroline³,Heutte Laurent³

Affiliation:

1. University of Chile, Santiago, Chile

2. Computer Vision Group, Orand S.A., Santiago, Chile

3. Normandie Univ, UNIROUEN, LITIS, Rouen, France

Funder

Comisión Nacional de Investigación Científica y Tecnológica

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3352631.3352645

Reference16 articles.

1. New public dataset for spotting patterns in medieval document images

2. A scalable pattern spotting system for historical documents

3. A survey of document image word spotting techniques

4. A. Lecoutre B. Negrevergne and F. Yger. 2017. Recognizing Art Style Automatically in painting with deep learning. In ACML. 327--342. A. Lecoutre B. Negrevergne and F. Yger. 2017. Recognizing Art Style Automatically in painting with deep learning. In ACML. 327--342.

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