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10

ICDAR
2009
IEEE

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HMM Based Handwritten Word Recognition System by Using Singularities

13 years 2 months ago

HMM Based Handwritten Word Recognition System by Using Singularities

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This paper presents a new approach for Handwritten Word Recognition based on Hidden Markov Model theory and the sliding window technique. The new approach uses specific singularity markers to support the recognition phase: the Static Marker and the Dynamic Marker. Moreover, different strategies for sliding window step are considered: Regular Step and Progressive Step. Experimental results showing the improvements obtained for basic word lexicon recognition are reported in the paper.

Sebastiano Impedovo, Anna Ferrante, Raffaele Modug

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Document Analysis | Handwritten Word Recognition | Hidden Markov Model | ICDAR 2009 | Word Lexicon Recognition |

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Added	18 Feb 2011
Updated	18 Feb 2011
Type	Journal
Year	2009
Where	ICDAR
Authors	Sebastiano Impedovo, Anna Ferrante, Raffaele Modugno

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