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Posted 11 Aug 2005

# Neural Network OCR

, 11 Aug 2005
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; /// /// Set of statistics functions /// public class Statistics { /// /// Calculate mean value /// /// Input: histogram array /// public static double Mean(int[] values) { int v; int mean = 0; int total = 0; // for all values for (int i = 0, n = values.Length; i < n; i++) { v = values[i]; // accumulate mean mean += i * v; // accumalate total total += v; } return (double) mean / total; } /// /// Calculate standard deviation /// /// Input: histogram array /// public static double StdDev(int[] values) { double mean = Mean(values); double stddev = 0; double t; int v; int total = 0; // for all values for (int i = 0, n = values.Length; i < n; i++) { v = values[i]; t = (double) i - mean; // accumulate mean stddev += t * t * v; // accumalate total total += v; } return Math.Sqrt(stddev / total); } /// /// Calculate median value /// /// Input: histogram array /// public static int Median(int[] values) { int total = 0, n = values.Length; // for all values for (int i = 0; i < n; i++) { // accumalate total total += values[i]; } int halfTotal = total / 2; int median, v; // find median value for (median = 0, v = 0; median < n; median++) { v += values[median]; if (v >= halfTotal) break; } return median; } /// /// Get range around median containing specified percentile of values /// /// Input: histogram array /// public static Range GetRange(int[] values, double percent) { int total = 0, n = values.Length; // for all values for (int i = 0; i < n; i++) { // accumalate total total += values[i]; } int min, max, v; int h = (int)(total * (percent + (1 - percent) / 2)); // get range min value for (min = 0, v = total; min < n; min++) { v -= values[min]; if (v < h) break; } // get range max value for (max = n - 1, v = total; max >= 0; max--) { v -= values[max]; if (v < h) break; } return new Range(min, max); } /// /// Calculate an entropy /// /// Input: histogram array /// public static double Entropy(int[] values) { int total = 0; for (int i = 0, n = values.Length; i < n; i++) { total += values[i]; } return Entropy(values, total); } public static double Entropy(int[] values, int total) { int n = values.Length; double e = 0; double p; // for all values for (int i = 0; i < n; i++) { // get item probability p = (double) values[i] / total; // calculate entropy if (p != 0) e += (-p * Math.Log(p, 2)); } return e; } } } ```

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 Software Developer IBM 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 and not so open Computer Vision Sandbox.

Going out of computers I am just a man loving his family, enjoying travelling, 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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