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Multiple convolution neural networks approach for online handwriting recognition

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9 Apr 2013CPOL8 min read 75.7K   25.1K   74  
The research focuses on the presentation of word recognition technique for an online handwriting recognition system which uses multiple component neural networks (MCNN) as the exchangeable parts of the classifier.
using System;
using System.Runtime.InteropServices;

namespace NetSpell.SpellChecker.Controls
{
	/// <summary>
	/// Summary description for NativeMethods.
	/// </summary>
	internal sealed class NativeMethods
	{

		private NativeMethods()
		{
		}

		// Windows Messages 
		internal const int WM_SETREDRAW				= 0x000B; 

		internal const int WM_PAINT					= 0x000F;
		internal const int WM_ERASEBKGND			= 0x0014;
		
		internal const int WM_NOTIFY				= 0x004E;
		
		internal const int WM_HSCROLL				= 0x0114;
		internal const int WM_VSCROLL				= 0x0115;

		internal const int WM_CAPTURECHANGED		= 0x0215;

		internal const int WM_USER					= 0x0400;
		
		// Win API declaration
		[DllImport("user32.dll", EntryPoint="SendMessage", CharSet=CharSet.Auto)]
		internal static extern int SendMessage(IntPtr hWnd, int msg, int wParam, int lParam); 
 

	}
}

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


Written By
Vietnam Maritime University
Vietnam Vietnam
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