Title :
CalliGUI: Interactive Labeling of Calligraphic Character Images
Author :
Nagy, George ; Zhang, Xiafen
Author_Institution :
Electr., Comput., & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
Calligraphic data entry is accelerated by generating, with a feature-based character classifier, an ordered list of reference candidate labels for each character image. The improvement of labeling throughput depends on the top-N accuracy of the classifier, which in turn is a function of the available already-labeled patterns. Experiments on a database of 13,351 ancient calligraphic characters indicate that clicking on reference labels is more than twice as fast as Pinyin keyboard entry.
Keywords :
document image processing; graphical user interfaces; humanities; pattern classification; CalliGUI; Pinyin keyboard entry; calligraphic data entry; feature based character classifier; interactive calligraphic character image labeling; top-N classifier accuracy; Accuracy; Books; Character recognition; Databases; Image segmentation; Labeling; Training; calligraphy; computer-aided labeling; shape-based recognition; top-N classification;
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1350-7
Electronic_ISBN :
1520-5363
DOI :
10.1109/ICDAR.2011.198