Segmentation-based recognition of handwritten touching pairs of digits using structural features
Pattern Recognition Letters
A Model of Unconstrained Digit Recognition Based on Hypothesis Testing and Data Reconstruction
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
The AddressScriptTM Recognition System for Handwritten Envelopes
DAS '98 Selected Papers from the Third IAPR Workshop on Document Analysis Systems: Theory and Practice
A Path Following Algorithm for Graph Matching
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
EvoGeneS, a new evolutionary approach to graph generation
EvoCOP'05 Proceedings of the 5th European conference on Evolutionary Computation in Combinatorial Optimization
EvoGeneSys, a new evolutionary approach to graph generation
Applied Soft Computing
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The article presents a handwritten digit string recognition algorithm based on matching input subgraphs with prototype symbol graphs. The article defines a set of acceptable graph transformations corresponding to typical variations of the handwritten symbols. The search for a match between the input subgraph and prototype graph is conducted using this set of transformations. This approach allows us to solve the problems of structure recognition methods caused by a high variability of handwritten symbol topology. The article presents experimental results of the handwritten digit string recognition system.