Neural Networks for Handwritten English Alphabet Recognition
arXiv:1205.3966v170 citations
Originality Synthesis-oriented
AI Analysis
This is an incremental application of existing neural network methods to a specific domain problem.
The paper tackled handwritten English alphabet recognition by using a neural network system with binary inputs and feature extraction, achieving unspecified results.
This paper demonstrates the use of neural networks for developing a system that can recognize hand-written English alphabets. In this system, each English alphabet is represented by binary values that are used as input to a simple feature extraction system, whose output is fed to our neural network system.