This paper presents a complete procedure for the segmentation of handwritten numeric strings. The procedure uses an hypothesis-then-verification strategy in which multiple segmentation algorithms based on contiguous row partition work sequentially on the binary image until an acceptable segmentation is obtained. At this purpose a new set of algorithms simulating a "drop falling" process is introduced. The experimental tests demonstrate the effectiveness of the new algorithms in obtaining high-confidence segmentation hypotheses.
Segmentation of numeric strings
Proceedings of 3rd International Conference on Document Analysis and Recognition ; 2 ; 1038-1041 vol.2
1995-01-01
399741 byte
Conference paper
Electronic Resource
English
Segmentation of Numeric Strings
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