An Enhanced Fault Tolerance Algorithm for Optical Mark Recognition Using Smartphone Cameras

Q Hafeez, W Aslam, R Aziz, G Aldehim - IEEE Access, 2024 - ieeexplore.ieee.org
Optical Mark Recognition (OMR) systems have been studied since the 1970s. Due to its
simplicity of use and efficiency in bulk operations, OMR technology has been gaining …

[HTML][HTML] Urban–Rural Disparities in Community Participation after Spinal Cord Injury in Ontario

M Amiri, M Alavinia, F Farahani, N Khasiyeva, M Burley… - Healthcare, 2024 - mdpi.com
Background: Personal, social, and environmental factors may influence self-efficacy and
social reintegration among people living with spinal cord injury or disease (SCI/D) in urban …

OMRNet: A lightweight deep learning model for optical mark recognition

S Mondal, P De, S Malakar, R Sarkar - Multimedia Tools and Applications, 2024 - Springer
Abstract Existing Optical Mark Recognition (OMR) systems tend to be expensive and rigid in
their operation, often resulting in erroneous evaluations due to strict correction protocols …

Developing and Evaluating Data Infrastructure and Implementation Tools to Support Cardiometabolic Disease Indicator Data Collection

M Amiri, S Kangatharan, L Brisbois… - Topics in Spinal …, 2023 - meridian.allenpress.com
Background Assessment of aerobic exercise (AE) and lipid profiles among individuals with
spinal cord injury or disease (SCI/D) is critical for cardiometabolic disease (CMD) risk …

Personal mark density-based high-performance Optical Mark Recognition (OMR) system using K-means clustering algorithm

Y Sancar, U Yavuz, I Karabey Aksakalli - Multimedia Tools and …, 2024 - Springer
To evaluate multiple choice question tests, optical forms are commonly used for large-scale
exams and these forms are read by the OMR (Optical Mark Recognition) scanners …

Bayesian-Optimization-based auto Optical Mark array recognition for flexible paper answer sheet

C SHI, W SUN, J ZHANG, J ZHANG… - IEICE Transactions on …, 2024 - jstage.jst.go.jp
Flexible paper answer sheets are widely employed in various examinations due to cost-
effectiveness. However, optical marks on flexible paper often encounter challenges such as …

Using of an arithmetic sequence to estimate undetected existing circle choice locations

A Sinchai, P Tuwanut - 2022 37th International Technical …, 2022 - ieeexplore.ieee.org
Handling an optical mark recognition (OMR) answer sheet faces a problem of shape
detection due to defections of color, resolution and shape. A typical method of shape …

Unsupervised Optical Mark Localization for Answer Sheet Based on Energy Optimization

C Shi, J Zhang, J Zhang, C Zhang… - 2023 IEEE 9th …, 2023 - ieeexplore.ieee.org
Optical Mark Recognition (OMR) is a crucial automated data entry technique in industries
such as education, finance, and consulting. However, the localization of optical marks in …

Sistema de reconocimiento óptico de marcas para mejorar el proceso de la calificación de exámenes de admisión de la Universidad Nacional Agraria de la Selva

H Solis Bonifacio - 2023 - repositorio.unac.edu.pe
El presente trabajo de investigación titulado SISTEMA DE RECONOCIMIENTO ÓPTICO DE
MARCAS PARA MEJORAR EL PROCESO DE LA CALIFICACIÓN DE EXÁMENES DE …

Using OMR for Grading MCQ-Type Answer Sheets Based on Bubble Marks

YP Atencio, JH Suaquita, JM Ramirez… - International Advanced …, 2022 - Springer
Currently have been many application proposals of computer vision in task automatizing.
One of them is the evaluation of questionnaires based on optical mark sheets. Frequently …