The objective is to use artificial neural networks to create a handwriting analyzer that can be trained to identify the writer of specific handwriting samples.
Created a sample neural network
Conducted research into neural networks
Looking into k-nearest-neighbor clustering to perform statistical analysis on handwriting samples
We are a group of students from Princeton High School with great interest in computer science and research hoping to apply our learning to real-life applications.
Week 2 Progress: https://goo.gl/qrXQWM
Implemented a neural network to determine the XOR of two-values using back-propagation
Week 3 Progress: https://goo.gl/5JEr5c
Processing images to create a neural network that uses input from pixel gray-scale values
Implemented neural networks to recognize handwritten digits
Started numerically analyzing handwriting attributes to implement k-nearest-neighbor