I am writing a .Net wrapper for Tesseract Ocr and if I use a grayscale image instead of rgb image as an input file to it then results are pretty good.
So I was searching the web for C# solution to convert a Rgb image to grayscale image and I found this code.
This performs 3 operations to increase the accuracy of tesseract.
- Resize the image
 - then convert into grayscale image and remove noise from image
 
Now this converted image gives almost 90% accurate results.
//Resize
public Bitmap Resize(Bitmap bmp, int newWidth, int newHeight)
{    
    Bitmap temp = (Bitmap)bmp;
    Bitmap bmap = new Bitmap(newWidth, newHeight, temp.PixelFormat);
    double nWidthFactor = (double)temp.Width / (double)newWidth;
    double nHeightFactor = (double)temp.Height / (double)newHeight;
    double fx, fy, nx, ny;
    int cx, cy, fr_x, fr_y;
    Color color1 = new Color();
    Color color2 = new Color();
    Color color3 = new Color();
    Color color4 = new Color();
    byte nRed, nGreen, nBlue;
    byte bp1, bp2;
    for (int x = 0; x < bmap.Width; ++x)
    {
        for (int y = 0; y < bmap.Height; ++y)
        {
            fr_x = (int)Math.Floor(x * nWidthFactor);
            fr_y = (int)Math.Floor(y * nHeightFactor);
            cx = fr_x + 1;
            if (cx >= temp.Width)
                cx = fr_x;
            cy = fr_y + 1;
            if (cy >= temp.Height)
                cy = fr_y;
            fx = x * nWidthFactor - fr_x;
            fy = y * nHeightFactor - fr_y;
            nx = 1.0 - fx;
            ny = 1.0 - fy;
            color1 = temp.GetPixel(fr_x, fr_y);
            color2 = temp.GetPixel(cx, fr_y);
            color3 = temp.GetPixel(fr_x, cy);
            color4 = temp.GetPixel(cx, cy);
            // Blue
            bp1 = (byte)(nx * color1.B + fx * color2.B); 
            bp2 = (byte)(nx * color3.B + fx * color4.B);
            nBlue = (byte)(ny * (double)(bp1) + fy * (double)(bp2));
            // Green
            bp1 = (byte)(nx * color1.G + fx * color2.G);    
            bp2 = (byte)(nx * color3.G + fx * color4.G);    
            nGreen = (byte)(ny * (double)(bp1) + fy * (double)(bp2));
            // Red
            bp1 = (byte)(nx * color1.R + fx * color2.R);   
            bp2 = (byte)(nx * color3.R + fx * color4.R);
            nRed = (byte)(ny * (double)(bp1) + fy * (double)(bp2));
            bmap.SetPixel(x, y, System.Drawing.Color.FromArgb(255, nRed, nGreen, nBlue));
        }
    }
    //here i included the below to functions logic without the for loop to remove repetitive use of for loop but it did not work and taking the same time.
    bmap = SetGrayscale(bmap);
    bmap = RemoveNoise(bmap);
    return bmap;
}
//SetGrayscale
public Bitmap SetGrayscale(Bitmap img)
{
    Bitmap temp = (Bitmap)img;
    Bitmap bmap = (Bitmap)temp.Clone();
    Color c;
    for (int i = 0; i < bmap.Width; i++)
    {
        for (int j = 0; j < bmap.Height; j++)
        {
            c = bmap.GetPixel(i, j);
            byte gray = (byte)(.299 * c.R + .587 * c.G + .114 * c.B);
            bmap.SetPixel(i, j, Color.FromArgb(gray, gray, gray));
        }
    }
    return (Bitmap)bmap.Clone();
}
//RemoveNoise
public Bitmap RemoveNoise(Bitmap bmap)
{    
    for (var x = 0; x < bmap.Width; x++)
    {
        for (var y = 0; y < bmap.Height; y++)
        {
            var pixel = bmap.GetPixel(x, y);
            if (pixel.R < 162 && pixel.G < 162 && pixel.B < 162)
                bmap.SetPixel(x, y, Color.Black);
        }
    }
    for (var x = 0; x < bmap.Width; x++)
    {
        for (var y = 0; y < bmap.Height; y++)
        {
            var pixel = bmap.GetPixel(x, y);
            if (pixel.R > 162 && pixel.G > 162 && pixel.B > 162)
                bmap.SetPixel(x, y, Color.White);
        }
    }
    return bmap;
}
But the problem is it takes lot of time to convert it
So I included SetGrayscale(Bitmap bmap)
RemoveNoise(Bitmap bmap) function logic inside the Resize() method to remove repetitive use of for loop   
but it did not solve my problem.