Abstract
Recently, the triangle features have been applied in digit recognition by adopting the angle as a part of the features. Most of the studies in digit recognition area which applied these features have given impressive result. However, the issue of big gap values that occurred between angle, ratio and gradient has given big impact to the accuracy of result. Therefore, we introduce our proposed method which is data normalization that has adopted the nature of triangle geometry in order to resolve the issue. Besides, we have applied other techniques such as Z-score, Minimax and LibSVM function in the experiment. There are four digit datasets used which are HODA, MNIST, IFCHDB and BANGLA. The result of classification have shown our proposed method have given better result compared to other technique as aforementioned.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Jordanian Journal of Computers and Information Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
