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# Neural Network OCR

, 11 Aug 2005 GPL3
Some ideas about optical character recognition using neural networks.
 AForge.Imaging.dll AForge.Math.dll AForge.NeuralNet.dll NeuroOCR.exe SourceGrid2.dll SourceLibrary.dll 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 Math Library // // Copyright � Andrew Kirillov, 2005 // andrew.kirillov@gmail.com // namespace AForge.Math { using System; /// /// HistogramD /// public class HistogramD { private int[] values; private RangeD range; private double mean = 0; private double stdDev = 0; private double median = 0; private double min; private double max; private int total = 0; // Get values public int[] Values { get { return values; } } // Get range public RangeD Range { get { return range; } } // Get mean public double Mean { get { return mean; } } // Get standard deviation public double StdDev { get { return stdDev; } } // Get median public double Median { get { return median; } } // Get min value public double Min { get { return min; } } // Get max value public double Max { get { return max; } } // Constructor public HistogramD(int[] values, RangeD range) { this.values = values; this.range = range; int v, i, l = values.Length; int lM1 = l - 1; double d = range.Max - range.Min; max = 0; min = l; // calculate mean, min, max for (i = 0; i < l; i++) { v = values[i]; if (v != 0) { // max if (i > max) max = i; // min if (i < min) min = i; } // accumulate total value total += v; // accumulate mean value mean += (((double) i / lM1) * d + range.Min) * v; } mean /= total; min = (min / lM1) * d + range.Min; max = (max / lM1) * d + range.Min; // calculate stadard deviation for (i = 0; i < l; i++) { v = values[i]; stdDev += Math.Pow((((double) i / lM1) * d + range.Min) - mean, 2) * v; } stdDev = Math.Sqrt(stdDev / total); // calculate median int m, h = total / 2; for (m = 0, v = 0; median < l; m++) { v += values[m]; if (v >= h) break; } median = ((double) m / lM1) * d + range.Min; } // Get range around median containing specified // percentile of values public RangeD GetRange(double percent) { int min, max, v; int h = (int)(total * (percent + (1 - percent) / 2)); int l = values.Length; int lM1 = l - 1; double d = range.Max - range.Min; for (min = 0, v = total; min < l; min++) { v -= values[min]; if (v < h) break; } for (max = l - 1, v = total; max >= 0; max--) { v -= values[max]; if (v < h) break; } return new RangeD(((double) min / lM1) * d + range.Min, ((double) max / lM1) * d + range.Min); } } } ```

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