研究著作內容
Boosting OCR Accuracy Using Crowdsourcing
(NOTE: Sheng-Wei Chen is also known as Kuan-Ta Chen.)

Abstract
Book digitizing is an important work in preserving ancient heritages. However, digitizing books contains a series of labor-intensive works, and one of them is to verify optical character recognition (OCR) outcomes. In this paper, we propose a crowdsourceable OCR verification method. Using our method, content holders are able to leverage the power of crowds to complete verification tasks and avoid content leakage. From the experiment results, our method is more efficient and reliable than the traditional method.

Materials
Citation
Shuo-Yang Wang, Ming-Hung Wang, and Kuan-Ta Chen, "Boosting OCR Accuracy Using Crowdsourcing," In Proceedings of AAAI HCOMP 2013 (Works-in-Progress Track), Nov 2013.

BibTex
@INPROCEEDINGS{wang13:crowdsourcing_ocr,
  AUTHOR     = {Shuo-Yang Wang and Ming-Hung Wang and Kuan-Ta Chen},
  TITLE      = {Boosting {OCR} Accuracy Using Crowdsourcing},
  BOOKTITLE  = {Proceedings of AAAI HCOMP 2013 (Works-in-Progress Track)},
  MONTH      = {Nov},
  YEAR       = {2013}
}