Contextual text/non-text stroke classification in online handwritten notes with conditional random fields

Adrien Delaye; Cheng‐Lin Liu

doi:10.1016/j.patcog.2013.04.017

ScienceGate Book Chapters

JOURNAL ARTICLE

Contextual text/non-text stroke classification in online handwritten notes with conditional random fields

Adrien Delaye Cheng‐Lin Liu

Year: 2013 Journal: Pattern Recognition Vol: 47 (3)Pages: 959-968 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2013.04.017

Get Full-Text PDF Get Analytical Report

Keywords:

Conditional random field Computer science Search engine indexing Context (archaeology) Natural language processing Artificial intelligence Information retrieval Field (mathematics) Task (project management) Interpretation (philosophy)

Metrics

Cited By

4.94

FWCI (Field Weighted Citation Impact)

Refs

0.96

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Handwritten Text Recognition Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Contextual text/non-text stroke classification in online handwritten notes with conditional random fields

Metrics

Citation History

Topics

Related Documents

Text/Non-text Classification in Online Handwritten Documents with Conditional Random Fields

Transcript Mapping for Handwritten Text Lines Using Conditional Random Fields

Text/Non-text Classification in Online Handwritten Documents with Recurrent Neural Networks

Text/Non-text Ink Stroke Classification in Japanese Handwriting Based on Markov Random Fields

Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields