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Automatic Location and Extraction of Palmprint Contour from Grayscale Image

Automatic Location and Extraction of Palmprint Contour from Grayscale Image. Student Yu Yue Tutor Shi Guangshun. Contents. Introduction Contour Extraction Model Model Realization Experimental Results. Introduction: Biometrics. Why we need Biometrics?.

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Automatic Location and Extraction of Palmprint Contour from Grayscale Image

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  1. Automatic Location and Extractionof Palmprint Contourfrom Grayscale Image Student Yu Yue Tutor Shi Guangshun

  2. Contents • Introduction • Contour Extraction Model • Model Realization • Experimental Results

  3. Introduction: Biometrics Why we need Biometrics?

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

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

  6. Introduction: Biometrics Biometric Technologies Iris Voice Face Fingerprint Hand Geometry Palmprint

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

  8. Introduction: Palmprint Recognition • Location • Contour Extraction • … …

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

  10. Contents • Introduction • Contour Extraction Model • Model Realization • Experimental Results

  11. Contour Extraction Model

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

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

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

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

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

  17. Contents • Introduction • Contour Extraction Model • Model Realization • Experimental Results

  18. Model Realization Model Realization (Demo)

  19. Contents • Introduction • Contour Extraction Model • Model Realization • Experimental Results

  20. Experimental Results

  21. Experimental Results

  22. Experimental Results Conclusion An effective model when the image is legible enough.

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

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