论文标题

IOCR:选举选票的知情光学特征识别

iOCR: Informed Optical Character Recognition for Election Ballot Tallies

论文作者

Oyibo, Kenneth U., Louis, Jean D., Gilbert, Juan E.

论文摘要

这项研究的目的是探索知情的OCR或IOCR的表现。 IOCR是通过使用法术校正算法开发的,以修复常规OCR进行投票表引入的错误。结果发现,IOCR系统的表现优于常规的OCR技术。

The purpose of this study is to explore the performance of Informed OCR or iOCR. iOCR was developed with a spell correction algorithm to fix errors introduced by conventional OCR for vote tabulation. The results found that the iOCR system outperforms conventional OCR techniques.

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