TY - GEN
T1 - Application of Agents to the Recognition of Mathematical Expressions from Noisy Images
AU - Ogwok, Daniel
AU - Ehlers, Elizabeth M.
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/11/20
Y1 - 2021/11/20
N2 - Research in image and pattern recognition has been going on for a long time. State of art solutions have been presented, and this has only got better with the introduction of convolutional neural networks. These networks have proven to work well, especially with high dimensional data. Mathematical expressions are written and used on a daily basis; however, it becomes a challenge when they have to be digitalized from images, especially when there is noise in the image. Noise presents an additional layer of difficulty in recognition of the expressions. This paper presents a system that uses agents that implement various segmentation and machine learning methods to recognize mathematical expressions from noisy images taken in a classroom setting.
AB - Research in image and pattern recognition has been going on for a long time. State of art solutions have been presented, and this has only got better with the introduction of convolutional neural networks. These networks have proven to work well, especially with high dimensional data. Mathematical expressions are written and used on a daily basis; however, it becomes a challenge when they have to be digitalized from images, especially when there is noise in the image. Noise presents an additional layer of difficulty in recognition of the expressions. This paper presents a system that uses agents that implement various segmentation and machine learning methods to recognize mathematical expressions from noisy images taken in a classroom setting.
KW - Agents
KW - Connected Components Labelling
KW - Convolutional Neural Networks
KW - Image Recognition
KW - K-Nearest Neighbours
KW - Support Vector Machines
UR - http://www.scopus.com/inward/record.url?scp=85128880121&partnerID=8YFLogxK
U2 - 10.1145/3507623.3507625
DO - 10.1145/3507623.3507625
M3 - Conference contribution
AN - SCOPUS:85128880121
T3 - ACM International Conference Proceeding Series
SP - 7
EP - 12
BT - CIIS 2021 - 2021 4th International Conference on Computational Intelligence and Intelligent Systems
PB - Association for Computing Machinery
T2 - 4th International Conference on Computational Intelligence and Intelligent Systems, CIIS 2021
Y2 - 20 November 2021 through 22 November 2021
ER -