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Jain et al., 2011 - Google Patents

Offline writer identification using k-adjacent segments

Jain et al., 2011

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Document ID
3781827359996540217
Author
Jain R
Doermann D
Publication year
Publication venue
2011 International Conference on Document Analysis and Recognition

External Links

Snippet

This paper presents a method for performing offline writer identification by using K-adjacent segment (KAS) features in a bag-of-features framework to model a user's handwriting. This approach achieves a top 1 recognition rate of 93% on the benchmark IAM English …
Continue reading at citeseerx.ist.psu.edu (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • 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
    • G06K9/6842—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the linguistic properties, e.g. English, German
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