Abstract:

One of the very significant problems in pattern recognition applications is the recognition of handwritten characters. Building an automatic handwritten digit recognition technique is the major goal of this project, which will be used to recognise handwritten digit strings. The segmentation of the digits into separate digits is the first step in completing the recognition challenge. The handwritten digit string recognition challenge is then completed by using a digit recognition module to categorise each segmented digit. Applications for digit recognition include filling out forms, processing bank checks, and sorting mail. The capacity to create an effective algorithm that can detect users' handwritten digits sent via a scanner, tablet, and other digital devices is at the core of the issue

Description:

Pattern Recognition, Handwritten Recognition, Digit Recognition, Machine Learning, Offline Handwritten Recognition, Machine Learning Algorithm, Neural Network, Classification Algorithm.