Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10360379 | Pattern Recognition | 2014 | 9 Pages |
Abstract
Experimental tests on the MNIST dataset demonstrated that our technique represents a good trade-off among accuracy, classification speed and robustness to handwriting style changes.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
S. Impedovo, F.M. Mangini, D. Barbuzzi,