iOCR: Informed Optical Character Recognition for Election Ballot Tallies

• URL: http://arxiv.org/abs/2208.00865v1
• Date: Mon, 1 Aug 2022 13:50:13 GMT
• Title: iOCR: Informed Optical Character Recognition for Election Ballot Tallies
• Authors: Kenneth U. Oyibo, Jean D. Louis, and Juan E. Gilbert
• Abstract summary: 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.
• Score: 13.343515845758398
• License: http://creativecommons.org/publicdomain/zero/1.0/
• Abstract: 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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