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Neural Network OCR

, 11 Aug 2005 GPL3
Some ideas about optical character recognition using neural networks.
neuroocr_demo.zip
AForge.Imaging.dll
AForge.Math.dll
AForge.NeuralNet.dll
NeuroOCR.exe
SourceGrid2.dll
SourceLibrary.dll
neuroocr_src.zip
AForge
Math
Math.csproj.user
NeuralNet
Learning
NeuralNet.csproj.user
NeuroOCR
App.ico
NeuroOCR.csproj.user
References
AForge.Imaging.dll
SourceGrid2.dll
SourceLibrary.dll
// AForge Neural Net Library
//
// Copyright � Andrew Kirillov, 2005
// andrew.kirillov@gmail.com
//

namespace AForge.NeuralNet
{
	using System;

	/// <summary>
	/// Layer - represent a collection of neurons
	/// </summary>
	public class Layer
	{
		protected int	inputsCount;	// inputs count of the layer
		protected int	neuronsCount;	// neurons count in the layer
		protected IActivationFunction	function;	// activation function of the layer
		protected Neuron[]	neurons;
		protected float[]	output;

		// Inputs count property
		public int InputsCount
		{
			get { return inputsCount; }
			set
			{
				inputsCount = Math.Max(1, value);
				InitLayer();
			}
		}
		// Neurons count property
		public int NeuronsCount
		{
			get { return neuronsCount; }
			set
			{
				neuronsCount = Math.Max(1, value);
				InitLayer();
			}
		}
		// Activation function property
		public IActivationFunction ActivationFunction
		{
			get { return function; }
			set
			{
				function = value;

				for (int i = 0; i < neuronsCount; i++)
					neurons[i].ActivationFunction = value;
			}
		}
		// Get neuron at the specified index
		public Neuron this[int index]
		{
			get { return (neurons[index]); }
		}
		// Get layer output
		public float[] Output
		{
			get { return output; }
		}

		
		// Constructors
		public Layer()
			: this (1, 1, new SigmoidFunction())
		{ }
		public Layer(int neuronsCount)
			: this (neuronsCount, 1, new SigmoidFunction())
		{ }
		public Layer(int neuronsCount, int inputsCount)
			: this (neuronsCount, inputsCount, new SigmoidFunction())
		{ }
		public Layer(int neuronsCount, int inputsCount, IActivationFunction function)
		{
			this.inputsCount = Math.Max(1, inputsCount);
			this.neuronsCount = Math.Max(1, neuronsCount);
			this.function = function;

			InitLayer();
		}

		// Compute the output value of the layer
		public float[] Compute(float[] input)
		{
			// compute each neuron
			for (int i = 0; i < neuronsCount; i++)
				output[i] = neurons[i].Compute(input);

			return output;
		}

		// Randomize the layer
		public void Randomize()
		{
			foreach (Neuron neuron in neurons)
				neuron.Randomize();
		}


		#region Private Members

		// Initialize layer
		private void InitLayer()
		{
			// create collection of neurons
			neurons = new Neuron[neuronsCount];
			// create each neuron
			for (int i = 0; i < neuronsCount; i++)
				neurons[i] = new Neuron(inputsCount, function);
			// allocate output array
			output = new float[neuronsCount];
		}

		#endregion
	}
}

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License

This article, along with any associated source code and files, is licensed under The GNU General Public License (GPLv3)

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About the Author

Andrew Kirillov
Software Developer (Senior) Cisco Systems
United Kingdom United Kingdom
Started software development at about 15 years old and it seems like now it lasts most part of my life. Fortunately did not spend too much time with Z80 and BK0010 and switched to 8086 and further. Similar with programming languages – luckily managed to get away from BASIC and Pascal to things like Assembler, C, C++ and then C#. Apart from daily programming for food, do it also for hobby, where mostly enjoy areas like Computer Vision, Robotics and AI. This led to some open source stuff like AForge.NET.
 
Going out of computers I am just a man loving his family, enjoying traveling, a bit of books, a bit of movies and a mixture of everything else. Always wanted to learn playing guitar, but it seems like 6 strings are much harder than few dozens of keyboard’s keys. Will keep progressing ...

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