IEEE Transactions on Pattern Analysis and Machine Intelligence
Touching numeral segmentation using water reservoir concept
Pattern Recognition Letters
A New Scheme for Off-Line Handwritten Connected Digit Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Segmentation of Connected Handwritten Numerals by Graph Representation
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
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In this paper we propose a system for segmentation and recognition of totally unconstrained handwritten numeral strings. The system is composed of several document analysis modules, namely, a preprocessing module, a segmentation module and a recognition module. The preprocessing module includes connected component analysis, identifying substring with touching digits and estimation of number of digits in the substring. The segmentation module is built with a new segmentation algorithm based on a thorough stroke analysis using contour representation of the strokes. In the recognition module, a high performance digit recognizer is used for the isolated digit images after segmentation and then a simple post-processing is called in the case when some punctuation marks or delimiters such as dash, comma and period are included in the numeral string. Due to the high performance of the segmentation module, the system is efficient and robust with high recognition performance.