Title :
Improvements in Keyword Search Japanese Characters within Handwritten Digital Ink
Author :
Cheng, Cheng ; Zhu, Bilan ; Chen, Xiaorong ; Nakagawa, Masaki
Abstract :
This paper presents a revised method for keyword search from handwritten digital ink in comparison with the previous system. We adopt a search method using noise reduction. Experiments on digital ink databases show that the revised method typically improves the systempsilas overall accuracy (f-measure) from 0.653 to 0.891.
Keywords :
document image processing; handwritten character recognition; image denoising; image retrieval; image segmentation; ink; natural languages; Japanese character recognition; digital ink database; document image retrieval technique; handwritten digital ink; image segmentation; keyword search; noise reduction; Agriculture; Character recognition; Databases; Handwriting recognition; Ink; Keyword search; Noise reduction; Optical character recognition software; Search methods; Text analysis; Keyword search; character recognition; digital ink; segmentation;
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
DOI :
10.1109/ICDAR.2009.20
