Handwritten Recognition Using Android

Handwritten Recognition Using Android

Shreeyash Paraj, Aditya Magdum, Yashraj Katakr, Pranav Shirpuse

Abstract:

This journal publication presents a study on a handwritten recognition project aimed at developing a model that can accurately recognize handwritten characters and words. Handwritten recognition has a wide range of applications, and the development of such a model can be useful in digitizing historical manuscripts and automatic form filling. In this study, we present the techniques and methodologies used to preprocess the data, extract features, and train the model using machine learning algorithms. The evaluation results of our model on a publicly available dataset show its effectiveness in accurately recognizing handwritten characters and words. This work contributes to the advancement of the field of handwritten recognition and provides a valuable resource for researchers and practitioners working in this area. We hope that our findings will inspire further research and development in this field.