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ICDAR
2009
IEEE

HMM Based Handwritten Word Recognition System by Using Singularities

9 years 9 months ago
HMM Based Handwritten Word Recognition System by Using Singularities
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
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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