Description of Invention
The Handwritten Word Recognition System aims to create a highly accurate and adaptable tool for interpreting handwritten text. Designed for diverse applications like document digitization and form processing, the system leverages advanced neural network architectures, particularly convolutional neural networks (CNNs), to enhance recognition accuracy by capturing complex patterns in handwriting. It incorporates robust pre-processing techniques to address image noise and improve input quality. Contextual understanding and sequential processing are used to mimic natural reading processes, improving accuracy by considering character and word relationships. The user-friendly interface ensures easy integration into various applications, making it practical and versatile for different fields.