Online Handwritten Japanese Character String Recognition Incorporating Geometric Context

Authors:
X.-D. Zhou;J.-L. Yu;C.-L. Liu;T. Nagasaki;K. Marukawa
Affiliations:
Chinese Academy of Sciences;Chinese Academy of Sciences;Chinese Academy of Sciences;Chinese Academy of Sciences;Chinese Academy of Sciences
Venue:
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Year:
2007

Citing 0
Cited 6

A robust approach to text line grouping in online handwritten Japanese documents

Pattern Recognition
An approach for real-time recognition of online Chinese handwritten sentences

Pattern Recognition
Attention-Feedback Based Robust Segmentation of Online Handwritten Isolated Tamil Words

ACM Transactions on Asian Language Information Processing (TALIP)
Transcript mapping for handwritten Chinese documents by integrating character recognition model and geometric context

Pattern Recognition
Building compact recognizer with recognition rate maintained for on-line handwritten Japanese text recognition

Pattern Recognition Letters
Character confidence based on N-best list for keyword spotting in online Chinese handwritten documents

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper first gives an overview on the technical advances in the field of character and document rec- ognition, decade by decade. Then, it highlights key technical developments especially for Kanji (Chinese character) recognition in Japan. Technical ...