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palmprint recognition matlab code, URGENT


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shimaa_3011



Joined: 16 Jun 2007
Posts: 4


Post16 Jun 2007 17:16   

palm print recognition


hi all
i'm new to this group, i have a project of palmprint recognition system, and i read so much about it and i understood it, but i faces some problems in starting the programing, i need help in the preprocessing stage to determine the area of interest within the palm image.
Is there anybody can help me.
NOTE my code is in matlab.
thanks
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auto_mitch



Joined: 14 Oct 2004
Posts: 212
Helped: 20


Post16 Jun 2007 23:26   

matlab source code for palmprint recognition


You have to be more specific. Could you please give us a greater description
of the project? Have you any image samples? which part of the hand you want to be the region of interest in order to analyze that?
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Post16 Jun 2007 23:26   

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shimaa_3011



Joined: 16 Jun 2007
Posts: 4


Post19 Jun 2007 22:22   

palm print matlab code


thanks for your interest
the project is to make identity recognition using palmprint.
the input of the system is images to the palm and we need to extract the area of interrest from it as displayed in the following figure.
the technique is as follow:

Step 1. Apply a lowpass filter, such as Gaussian smoothing, to the original image, A threshold, Tp, is used to convert the convolved image to a binary image,

Step 2. Obtain the boundaries of the gaps, (Fx; Fy), between the fingers using a boundary tracking algorithm (see Fig. c).

Step 3. Compute the tangent of the two gaps. Let (x1; y1) and (x2; y2) be any points on (F1x; F1y) and (F2x; F2y), respectively. If the line passing though these
two points satisfies the inequality, (Fiyj >= mFixj +c) for all i and j (see Fig. d), then the line (y = mx + c) is considered to be the tangent of the two gaps.

Step 4. Line up (x1; y1) and (x2; y2) to get the Y-axis of the palmprint coordinate system, and use a line passing through the midpoint of these two points, which is
perpendicular to the Y-axis, to determine the origin of the coordinate system.

Step 5. Extract a subimage of a fixed size.


i need only step2 and step3 and i will be gracefull.

thanks all



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