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arXiv · 2004.03337

An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings

Andre G. Hochuli·Alceu S. Britto Jr.·Jean P. Barddal·Luiz E. S. Oliveira·Robert Sabourin
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Abstract

An end-to-end solution for handwritten numeral string recognition is proposed, in which the numeral string is considered as composed of objects automatically detected and recognized by a YoLo-based model. The main contribution of this paper is to avoid heuristic-based methods for string preprocessing and segmentation, the need for task-oriented classifiers, and also the use of specific constraints related to the string length. A robust experimental protocol based on several numeral string datasets, including one composed of historical documents, has shown that the proposed method is a feasible end-to-end solution for numeral string recognition. Besides, it reduces the complexity of the string recognition task considerably since it drops out classical steps, in special preprocessing, segmentation, and a set of classifiers devoted to strings with a specific length.

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Andre G. Hochuli, Alceu S. Britto Jr., Jean P. Barddal, Luiz E. S. Oliveira, Robert Sabourin. 2020-03-28. An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings. https://doi.org/10.1109/ijcnn48605.2020.9207468

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