An Efficient Machine Learning Technique to Classify and Recognize Handwritten and Printed Digits of Sudoku Puzzle
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 6
Abstract
In this paper, we propose a convolutional neural network model to recognize and classify handwritten and printed digits present in Sudoku puzzle, which is captured using smartphone camera from various magazines, and printed papers. Sudoku puzzle grid is detected using various image processing and filtering techniques such as adaptive threshold. The system described in the paper is thoroughly tested on a set of 100 Sudoku images captured with smartphone cameras under varying conditions. The system shows promising results with 98% accuracy. Our model can handle more complex conditions often present on images that were taken with phone cameras and the complexity of mixed printed and handwritten digits.
Authors and Affiliations
Sang C. Suh, Aghalya Dharshni Manmatharaj
Keywords
Related Articles
- EP ID EP597506
- DOI 10.14569/IJACSA.2019.0100682
- Views 107
- Downloads 0
Development and Validation of a Cooling Load Prediction Model
In smart buildings, cooling load prediction is important and essential in the sense of energy efficiency especially in hot countries. Indeed, prediction is required in order to provide the occupant by his consumption and...
Review of Prediction of Disease Trends using Big Data Analytics
Big Data technologies promise to have a transformative impact in healthcare, public health, and medical research, among other application areas. Several intelligent machine learning techniques were designed and used to p...
Synchronous Authentication Key Management Scheme for Inter-eNB Handover over LTE Networks
Handover process execution without active session termination is considered one of the most important attribute in the Long Term Evolution (LTE) networks. Unfortunately, this service always is suffered from the growing o...
A Novel Architecture for 5G Ultra Dense Heterogeneous Cellular Network
The mounting use of wireless devices and wide range applications in an ultra-dense heterogeneous wireless network has directed to the challenging circumstances that could not be handled till 4G. In order to deal with the...
Quantifying the Relationship between Hit Count Estimates and Wikipedia Article Traffic
This paper analyzes the relationship between search engine hit counts and Wikipedia article views by evaluating the cross correlation between them. We observe the hit count estimates of three popular search engines over...