A robust analytical approach for handwritten word recognition

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Abstract

This paper presents a system for handwritten word recognition based on an analytical approach. Through a fast segmentation procedure, basic strokes are detected and used to recognize the word by a bottom-up approach. The system has been tested on the worded amounts on bankchecks. The experimental results show the effectiveness of the approach.

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Congedo, G., Dimauro, G., Impedovo, S., Pirlo, G., & Sfregola, D. (1995). A robust analytical approach for handwritten word recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 974, pp. 594–599). Springer Verlag. https://doi.org/10.1007/3-540-60298-4_319

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