Touching numeral segmentation using water reservoir concept
Pattern Recognition Letters
Bank-check Processing System: Modifications Due to the New European Currency
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
An approach for locating segmentation points of handwritten digit strings using a neural network
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Segmentation of Connected Chinese Characters Based on Genetic Algorithm
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Independent Component Analysis Segmentation Algorithm
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A system for processing handwritten bank checks automatically
Image and Vision Computing
Segmentation of overlapping cursive handwritten digits
Proceedings of the eighth ACM symposium on Document engineering
Simulating inertial and centripetal forces for segmentation of overlapped handwritten digits
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Segmentation strategy of handwritten connected digits (SSHCD)
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Segmentation of connected handwritten digits using Self-Organizing Maps
Expert Systems with Applications: An International Journal
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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.