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Intelligently crop a scanned image

I've managed to talk to my scanner and pull in an image, in this case it will be ID cards or passports etc,
but now I need to crop away the background of the scan (which is white or black).
It doesn't need to be a perfect crop, in fact I think it will be a 'suggested crop' and the user can check if it's right and approve it.
0
rfwoolf
Asked:
rfwoolf
2 Solutions
 
jimyXCommented:
I am not sure if there is a way that makes you able to detect the white or dark space in a scanned image, but I have another idea which is by matching between a blank scanning and the target scanning you will get the difference highlight, i.e: you can create a standard stored image of the scanner (blank scanning), and whenever you want to make a scan just match between the stored image and the new scanned image and then by detecting the difference between them you can have your target area highlighted. I did not try this with scanner but theoretically it should work.

Again from efg Lab:
function Min(a, b: Longint): Longint;
begin
  if a > b then
    Result := b
  else
    Result := a;
end;

function Max(a, b: Longint): Longint;
begin
  if a > b then
    Result := a
  else
    Result := b;
end;

function ScanImages(previous:TBitmap;current:TBitmap;var Changed:TRect):Boolean;
var
  ix, iy, idiff : INTEGER;
  minx, maxx, miny, maxy : INTEGER;
  tempPixel1, tempPixel2 : TColor;

function ProbablyNoise (xPos, yPos : INTEGER) : BOOLEAN;
const
  noiseThreshhold = 3;
var
  jx, jy : INTEGER;
  nDiff : INTEGER;
  nearPixel1, nearPixel2 : TColor;
begin
  nDiff := 0;
  for jx := Max(0,xPos-2) to Min(xPos+2,Form1.Blank.Width) do
    begin
      for jy := Max(0,yPos-2) to Min(yPos+2,Form1.Blank.Height) do
        begin
          nearPixel1 := Form1.Blank.Canvas.Pixels[jx,jy];
          nearPixel2 := Form1.ScannedImage.Canvas.Pixels[jx,jy];
          if (nearPixel1 <> nearPixel2) then
            INC(nDiff);
        end {FOR};
    end {FOR};
  if nDiff > noiseThreshhold then
    result := false
  else result := true;
end {ProbablyNoise};

begin
//  RESULT :=  FALSE;
  { Make sure they are the same shape }
  if (previous.Height <> current.Height)or(previous.Width  <> current.Width) then
    begin
      RESULT := FALSE;
      EXIT;
    end {IF};

  { We'll work with the pixels because we want to bounding TRect }
  minx := previous.Width; maxx := -1;
  miny := previous.Height; maxy := -1;
  iDiff := 0;
  for iy := 0 to previous.Height-1 do
    begin
      for ix := 0 to previous.Width-1 do
        begin
          tempPixel1 := previous.Canvas.Pixels[ix,iy];
          tempPixel2 := current.Canvas.Pixels[ix,iy];
          if (tempPixel1 <> tempPixel2) and not ProbablyNoise(ix,iy) then
            begin
              inc(iDiff);
              minx := Min(minx,ix);
              maxx := Max(maxx,ix);
              miny := Min(miny,iy);
              maxy := Max(maxy,iy);
            end {IF};
        end {FOR};
    end {FOR};
  if (iDiff <= 0) then
    RESULT := FALSE
  else
    begin
      result := TRUE;
      Changed.Left := minx;
      Changed.Right := maxx;
      Changed.Top := miny;
      Changed.Bottom := maxy;
    end {IF};
end {ScanImages};

procedure TForm1.Button1Click(Sender: TObject);
var
  A:TRect;
begin
if ScanImages(Blank.Picture.Bitmap, ScannedImage.Picture.Bitmap,A) then
  begin
    ScannedImage.Canvas.DrawFocusRect(A);
  end;
end;

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0
 
epasquierCommented:
Here is a matching color function based on the RGB value, with a tolerance value
That tolerance value is the maximum "distance"
function ColorMatch(C1,C2:TColor;Tolerance:Single):Boolean;
Var
 R1,B1,C1:Byte;
 R2,B2,C2:Byte;
begin
 C1:=ColorToRGB(C1); 
 R1:=C1 And $FF;
 G1:=(C1 SHR 8)And $FF;
 B1:=(C1 SHR 16) And $FF;
 C2:=ColorToRGB(C2);
 R2:=C2 And $FF;
 G2:=(C2 SHR 8)And $FF;
 B2:=(C2 SHR 16) And $FF;
 Result:= Sqrt(sqr(R1-R2)+ (sqr(G1-G2)+(sqr(B1-B2))<=Tolerance;
end;

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