English

iOCR: Informed Optical Character Recognition for Election Ballot Tallies

Emerging Technologies 2022-08-02 v1 Computers and Society
Authors: Kenneth U. Oyibo , Jean D. Louis , Juan E. Gilbert
View on arXiv ↗ PDF ↗

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.

Keywords

handwritten character recognition

Cite

@article{arxiv.2208.00865,
  title  = {iOCR: Informed Optical Character Recognition for Election Ballot Tallies},
  author = {Kenneth U. Oyibo and Jean D. Louis and Juan E. Gilbert},
  journal= {arXiv preprint arXiv:2208.00865},
  year   = {2022}
}

Related papers

View all related →
Computation and Language · Computer Science
OCR Post-Processing Error Correction Algorithm using Google Online Spelling Suggestion
Youssef Bassil, Mohammad Alwani
2012-04-03
Computer Vision and Pattern Recognition · Computer Science
Handwritten Text Recognition Using Convolutional Neural Network
Atman Mishra, A. Sharath Ram, Kavyashree C
2023-07-12
Computer Vision and Pattern Recognition · Computer Science
Unknown-box Approximation to Improve Optical Character Recognition Performance
Ayantha Randika, Nilanjan Ray, Xiao Xiao, Allegra Latimer
2021-05-18
Computer Vision and Pattern Recognition · Computer Science
Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and Voting
Christian Reul, Uwe Springmann, Christoph Wick, Frank Puppe
2018-07-25
Computation and Language · Computer Science
A Tool for Facilitating OCR Postediting in Historical Documents
Alberto Poncelas, Mohammad Aboomar, Jan Buts, James Hadley +1
2020-04-27
Computer Vision and Pattern Recognition · Computer Science
Detection Masking for Improved OCR on Noisy Documents
Daniel Rotman, Ophir Azulai, Inbar Shapira, Yevgeny Burshtein +1
2022-05-18
Computer Vision and Pattern Recognition · Computer Science
Statistical Learning for OCR Text Correction
Jie Mei, Aminul Islam, Yajing Wu, Abidalrahman Moh'd +1
2016-11-22
Machine Learning · Computer Science
Fooling OCR Systems with Adversarial Text Images
Congzheng Song, Vitaly Shmatikov
2018-02-16
Computation and Language · Computer Science
OCR Context-Sensitive Error Correction Based on Google Web 1T 5-Gram Data Set
Youssef Bassil, Mohammad Alwani
2012-04-03
Information Retrieval · Computer Science
OCR Error Correction Using Character Correction and Feature-Based Word Classification
Ido Kissos, Nachum Dershowitz
2020-06-11
Computer Vision and Pattern Recognition · Computer Science
A Survey on Optical Character Recognition System
Noman Islam, Zeeshan Islam, Nazia Noor
2017-10-17
Computation and Language · Computer Science
Post-OCR Document Correction with large Ensembles of Character Sequence-to-Sequence Models
Juan Ramirez-Orta, Eduardo Xamena, Ana Maguitman, Evangelos Milios +1
2022-01-26
Digital Libraries · Computer Science
Quality of OCR for Degraded Text Images
Roger T. Hartley, Kathleen Crumpton
2007-05-23
Computer Vision and Pattern Recognition · Computer Science
PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System
Yuning Du, Chenxia Li, Ruoyu Guo, Cheng Cui +8
2021-10-13
Computer Vision and Pattern Recognition · Computer Science
\'Eclair -- Extracting Content and Layout with Integrated Reading Order for Documents
Ilia Karmanov, Amala Sanjay Deshmukh, Lukas Voegtle, Philipp Fischer +7
2025-02-07
Computer Vision and Pattern Recognition · Computer Science
Advancements and Challenges in Arabic Optical Character Recognition: A Comprehensive Survey
Mahmoud SalahEldin Kasem, Mohamed Mahmoud, Hyun-Soo Kang
2023-12-20
Computer Vision and Pattern Recognition · Computer Science
Text Detection Forgot About Document OCR
Krzysztof Olejniczak, Milan Šulc
2023-01-24
Computer Vision and Pattern Recognition · Computer Science
A Novel Pipeline for Improving Optical Character Recognition through Post-processing Using Natural Language Processing
Aishik Rakshit, Samyak Mehta, Anirban Dasgupta
2023-07-11
Information Retrieval · Computer Science
Information Retrieval from the Digitized Books
Riya Gupta, C. V. Jawahar
2022-12-05
Computer Vision and Pattern Recognition · Computer Science
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
Jamshed Memon, Maira Sami, Rizwan Ahmed Khan
2020-01-03
Computer Vision and Pattern Recognition · Computer Science
Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning
Christian Reul, Uwe Springmann, Christoph Wick, Frank Puppe
2018-03-01
Computer Vision and Pattern Recognition · Computer Science
Optical Character Recognition, Using K-Nearest Neighbors
Wei Wang
2014-11-07
Computer Vision and Pattern Recognition · Computer Science
Why Stop at Words? Unveiling the Bigger Picture through Line-Level OCR
Shashank Vempati, Nishit Anand, Gaurav Talebailkar, Arpan Garai +1
2025-09-01
Computer Vision and Pattern Recognition · Computer Science
Digitization of Document and Information Extraction using OCR
Rasha Sinha, Rekha B S
2025-06-16
Computer Vision and Pattern Recognition · Computer Science
Looking and Listening: Audio Guided Text Recognition
Wenwen Yu, Mingyu Liu, Biao Yang, Enming Zhang +4
2023-06-07
R2 v1 2026-06-25T01:22:56.640Z