WRITE CHECK

WRITE CHECK

DR Thayabba khatoon, S Vinay Kumar Reddy, B VINAYAKA DATTA, J Vinay Kumar, M VINESH GOUD, A VINOD, B VINAY

School of Engineering,

Malla Reddy University

Abstratc:

In this project, we want to use Python to create a handwriting recognition system. The input photos will be preprocessed, the characters will be segmented, and features will be extracted using the OpenCV library. Then, we'll employ machine learning techniques like Convolutional Neural Networks (CNN) and Support Vector Machines (SVM) To train a model to recognise the handwritten characters, use neural networks (CNN). The MNIST dataset, which is a collection of handwritten digits, will be the dataset utilised in this research. We will use a variety of preprocessing methods, including edge detection, blurring, and picture thresholding. After that, we'll use contour detection to segment the characters and extract information like each character's size, shape, and orientation. Finally, utilising the extracted features to train a model, we will assess its performance using a variety of measures, including accuracy, precision, recall, and F1-score. The developed model may be applied to real-time applications like digit recognition in cheque processing or postal services to recognise handwritten characters.