Abstract

Recognition of Handwritten Numerals Using Elastic Matching Patrice Scattolin Elastic matching has been used for the recognition of handwritten characters for two decades. It is usually only used for writer-dependent systems with on-line data. We attempt to use this method in a multi-writer environment for both on-line and off-line recognition of handwritten numerals. By its nature, elastic matching is best suited to single writer on-line systems. Two challenges present themselves to attain reasonable results under these conditions. First, the algorithm must be modified to better generalize the models, to recognize a wider variety of patterns with a given number of models. Secondly the off-line data is not in a suitable format as the patterns are not represented by a sequence of ordered points. We will apply two modifications to the typical elastic matching system to adapt it to the multi-writer environment and for the off-line data. To process the off-line data, we use a stroke recon...

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