Editing Optical character recognition (section)

===Crowdsourcing===
[[Crowdsourcing]] humans to perform the character recognition can quickly process images like computer-driven OCR, but with higher accuracy for recognizing images than that obtained via computers. Practical systems include the [[Amazon Mechanical Turk]] and [[reCAPTCHA]]. The [[National Library of Finland]] has developed an online interface for users to correct OCRed texts in the standardized ALTO format.<ref>{{cite web|url=http://blogs.helsinki.fi/fennougrica/2014/02/21/ocr-text-editor/|title=What is the point of an online interactive OCR text editor? - Fenno-Ugrica|date=2014-02-21}}</ref> Crowd sourcing has also been used not to perform character recognition directly but to invite software developers to develop image processing algorithms, for example, through the use of [[Tournament theory|rank-order tournaments]].<ref>{{cite journal |author=Riedl, C. |author2=Zanibbi, R. |author3=Hearst, M. A. |author4=Zhu, S. |author5=Menietti, M. |author6=Crusan, J. |author7=Metelsky, I. |author8=Lakhani, K. |title=Detecting Figures and Part Labels in Patents: Competition-Based Development of Image Processing Algorithms |journal=[[International Journal on Document Analysis and Recognition]] |volume=19 |issue=2 |pages=155 |date=20 February 2016 |doi=10.1007/s10032-016-0260-8|arxiv=1410.6751 |s2cid=11873638 }}</ref>