Feature Extraction and Classification of Handwritten Patterns using Neural Networks

ABSTRACT Handwritten Pattern recognition has been one of the most captivating and interesting areas in the field of Image processing and soft computing. The biggest challenge faced by current technology is the recognition of patterns or object accurately. To train machines for the task of recognition is a tedious job due to variability in patterns and different writing styles, yet they provide useful solution thereby saving time and money. Neural networks provide an efficient solution to the problem of recognition. The paper presents a system that culminates efficient steps of pre-processing along with the training of neural network and hence providing better results of recognition. The system aims to reduce processing time while simultaneously improving recognition rates