CVFeb 1, 2017
Handwritten Recognition Using SVM, KNN and Neural Network
arXiv:1702.00723v145 citations
Originality Synthesis-oriented
AI Analysis
This work addresses the problem of automated handwriting interpretation for general computer applications, but it is incremental as it uses existing methods without introducing new techniques.
The paper tackled handwritten recognition by applying SVM, KNN, and Neural Network classifiers to interpret input from sources like paper documents and touch-screens, achieving unspecified results without concrete numbers.
Handwritten recognition (HWR) is the ability of a computer to receive and interpret intelligible handwritten input from source such as paper documents, photographs, touch-screens and other devices. In this paper we will using three (3) classification t o re cognize the handwritten which is SVM, KNN and Neural Network.