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Rao et al., 2017 - Google Patents

Orthographic properties based Telugu text recognition using hidden Markov models

Rao et al., 2017

Document ID
9014109967649130144
Author
Rao D
Negi A
Publication year
Publication venue
2017 14th IAPR international conference on document analysis and recognition (ICDAR)

External Links

Snippet

Telugu script has the glyphs for vowels, consonants and modifiers to form orthographic units called aksharas (characters). In this paper, we present the Telugu printed text recognition based on orthographic properties of the script and Hidden Markov Models (HMMs). One of …
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Classifications

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    • G06K9/68Methods 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
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