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Bhunia et al., 2021 - Google Patents

Handwriting transformers

Bhunia et al., 2021

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Document ID
7436779629300566201
Author
Bhunia A
Khan S
Cholakkal H
Anwer R
Khan F
Shah M
Publication year
Publication venue
Proceedings of the IEEE/CVF international conference on computer vision

External Links

Snippet

We propose a novel transformer-based styled handwritten text image generation approach, HWT, that strives to learn both style-content entanglement as well as global and local style patterns. The proposed HWT captures the long and short range relationships within the style …
Continue reading at openaccess.thecvf.com (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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