HANDWRITTEN CHARACTER RECOGNITION USING MACHINE LEARNINGJournal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.8, No. 9)
Publication Date: 2019-09-30
Authors : Rupali Patil; Jyoti Sangogi;
Page : 69-72
Keywords : Character recognition; accuracy; SVM; NN; Image processing.;
The aim of this work is to review existing methods for the handwritten digit recognition problem using machine learning algorithms and implement one of them for a user-friendly Android application. The main tasks the application provides a solution for are handwriting recognition based on touch input, handwriting recognition from live camera frames or a picture file, learning new characters, and learning interactively based on user's feedback. The recognition model we have chosen is a Support Vector Machines (SVMs) and Nearest Neighbor (NN) techniques especially because of its high performance on nonlinearly separable problems.
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Last modified: 2019-10-17 22:29:21