Recognition of Handwritten Numerals Using Support Vector Machine
Abstract: Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data. Pattern recognition systems are in many cases trained from labeled "training" data (supervised learning), but when no labeled data are available other algorithms can be used to discover previously unknown patterns (unsupervised learning). In recent years, the recognition of printed and handwritten mathematical expressions has received an increasing amount of attention in pattern recognition research. The diversity of approaches to recognize mathematical expressions and the lack of a commercially viable system, however, indicate that there is still much research to be done in this area.
Paper: Recognition of Handwritten Numerals Using Support Vector Machine.pdf
Author: Pranati Rakshit
Approved on: 30 Sep 2020