Automatic Location and Extractionof Palmprint Contourfrom Grayscale Image
Student Yu Yue Tutor Shi Guangshun
Contents
• Introduction• Contour Extraction
Model• Model Realization• Experimental Results
Introduction: Biometrics
Why we need Biometrics?
Introduction: Biometrics
Knowledge-basedToken-based
• Traditional Personal Identification Method
When you Forget the password
OR
Lost the card……
Introduction: Biometrics
Biometrics
based on one’s physiological or behavioral characteristics
• Unlosableness
• Universality
• Uniqueness
• Permanence
Introduction: Biometrics
Biometric Technologies
FingerprintFaceHand GeometryPalmprintIrisVoice
Introduction: Palmprint
Palmprint
• Large Quantity of Information
• Permanence & Uniqueness
• Low Cost
• Multi-Biometrics
Both in Identification and Verification
Introduction: Palmprint
Sampling
FeatureExtraction
FeatureMatch
Identification / verification
Preparation
Application
Recognition
• Location• Contour Extraction• … …
Introduction: Palmprint Contour
• Locate the Palm Area
• A Feature in Match
The First Step of Palmprint Recognition.
Importance:
Contents
• Introduction• Contour Extraction
Model• Model Realization• Experimental Results
Fill Palm Area
Select Connected Component
Extract Contour
Median Filter
Thresholding
Preprocessing
ContourExtraction
Optimazation
Contour Extraction Model
Contour Extraction Model: Median Filter
Median Filter• Erase the Noise• Keep the Edge• Felt Ridges
Palmprint (part)
Filter
Contour Extraction Model: Thresholding
Thresholding
the key point:
choose the Threshold Value
Suppose the palm area is nearly fixed.
Contour Extraction Model: Select CC
Fill Palm Area &
Select Connected Component
the key point:
the Arithimetic of
Detecting Connected Component
Contour Extraction Model: Select CC
Step 1:mark the outer back
Step 2:fill the palm area
Step 3:choose a CC
Contour Extraction Model: Extract Contour
Extract Contour
Object
Filter
Contents
• Introduction• Contour Extraction
Model• Model Realization• Experimental Results
Model Realization
Model Realization
(Demo)
Contents
• Introduction• Contour Extraction
Model• Model Realization• Experimental Results
Experimental Results
Total Smples 40
Processing Results AmountPercenta
geExact Palm Contour 31 77.5%
Palm Area Expanded 8 20%
Palm Area Lost 1 2.5%
Experimental Results
Experimental Results
Conclusion
An effective model when the image is legible enough.
Thanks
Thanks !
Thanks all my friends,Thank you for your concern and hel
p.
YuYueMay. 2004
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