2. Automatic Location and Extraction of Palmprint Contour from Grayscale Image Student Yu Yue Tutor Shi Guangshun

3. Contents Introduction Contour Extraction Model Model Realization Experimental Results

4. Introduction: Biometrics Why we need Biometrics?

5. Introduction: Biometrics Knowledge-based Token-based Traditional Personal Identification Method When you Forget the password OR Lost the card……

6. Introduction: Biometrics Biometrics based on one’s physiological or behavioral characteristics Unlosableness Universality Uniqueness Permanence

7. Introduction: Biometrics Biometric Technologies FingerprintFace Hand Geometry Palmprint IrisVoice

8. Introduction: Palmprint Palmprint Large Quantity of Information Permanence & Uniqueness Low Cost Multi-Biometrics Both in Identification and Verification

9. Introduction: Palmprint Recognition Location Contour Extraction … …

10. Introduction: Palmprint Contour Locate the Palm Area A Feature in Match The First Step of Palmprint Recognition. Importance:

11. Contents Introduction Contour Extraction Model Model Realization Experimental Results

12. Contour Extraction Model

13. Contour Extraction Model: Median Filter Median Filter Erase the Noise Keep the Edge Felt Ridges Palmprint (part) Filter

14. Contour Extraction Model: Thresholding Thresholding the key point: choose the Threshold Value Suppose the palm area is nearly fixed.

15. Contour Extraction Model: Select CC Fill Palm Area & Select Connected Component the key point: the Arithimetic of Detecting Connected Component

16. Contour Extraction Model: Select CC Step 1: mark the outer back Step 2: fill the palm area Step 3: choose a CC

17. Contour Extraction Model: Extract Contour Extract Contour Object Filter

18. Contents Introduction Contour Extraction Model Model Realization Experimental Results

19. Model Realization (Demo)

20. Contents Introduction Contour Extraction Model Model Realization Experimental Results

21. Total Smples 40 Processing ResultsAmountPercentage Exact Palm Contour3177.5% Palm Area Expanded820% Palm Area Lost12.5%

22. Experimental Results

23. Conclusion An effective model when the image is legible enough.

24. Thanks Thanks ! Thanks all my friends, Thank you for your concern and help. YuYue May. 2004