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