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Benouareth et al., 2007 - Google Patents

Arabic handwritten word recognition using HMMs with explicit state duration

Benouareth et al., 2007

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Document ID
11503370211571746045
Author
Benouareth A
Ennaji A
Sellami M
Publication year
Publication venue
Eurasip journal on advances in signal processing

External Links

Snippet

We describe an offline unconstrained Arabic handwritten word recognition system based on segmentation-free approach and discrete hidden Markov models (HMMs) with explicit state duration. Character durations play a significant part in the recognition of cursive handwriting …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
    • G06K9/6206—Shifting or otherwise transforming the patterns to accommodate for positional errors involving a deformation of the sample or reference pattern; Elastic matching
    • G—PHYSICS
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    • G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
    • G06K9/6807—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
    • G06K9/6814—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the graphical properties
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    • G06K9/6292—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of classification results, e.g. of classification results related to same input data
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    • G06K9/00442—Document analysis and understanding; Document recognition

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