Palm print identification using palm line orientation

• US 20050281438A1
• Filed: 06/21/2004
• Published: 12/22/2005
• Est. Priority Date: 06/21/2004
• Status: Abandoned Application

• Current Assignee: Hong Kong Polytechnic University
• Original Assignee: Hong Kong Polytechnic University
• Inventors: Kong, Wai Kin Adams, Zhang, David Dapeng
• Application Number:
  US10/872,878
• Publication Number:
  US 20050281438A1
• Time in Patent Office: Days
• US Class Current: 382/115
• CPC Class Codes: G06V 40/1347 Preprocessing; Feature extraction

Abstract

A method of biometrics identification involves obtaining an image of a portion of a hand of an individual, said image including a plurality of line features of the hand, analyzing the image to obtain a characteristic value including orientation information of said line features in two or more orientations, and comparing the characteristic value with reference information in a database. The analyze use a neurophysiology-based Gabor.

Claims

1. A method of biometrics identification including:

obtaining an image of a portion of a hand of a subject, said image including a line feature of the hand,

analyzing the image to obtain a characteristic value including orientation information of the line feature in two or more orientations,

comparing the characteristic value with reference information in a database.

2. The method of claim 1 wherein the characteristic value includes orientation information of the line feature in six orientations.

3. The method of claim 1 wherein the step of analyzing the image includes using a Gabor function to obtain the characteristic value.

4. The method of claim 1 wherein the step of analyzing the image includes using a Gabor function of the form

$\psi$

⁡

( x , y ⁢

 

⁢

ω

, θ

) = ω

0 2 ⁢

π

κ

⁢

ⅇ

- ω

2 8 ⁢

κ

2 ⁢

( 4 ⁢

x ′

2 + y ′

2 ) ( ⅇ

ⅈ

ω

0 ⁢

x ′

- ⅇ

- κ

2 2 ) .

5. The method of claim 1 wherein the step of analyzing the image includes creating a model of the line feature, said model having the form

$\kappa$

= 2 ⁢

 

⁢

ln ⁢

 

⁢

2 ⁢

( 2 δ

+ 1 2 δ

- 1 ) .

6. The method of claim 1 wherein the step of analyzing the image includes:

creating a model of the line feature,

applying a Gabor function to the model to extract properties of the line feature, and

applying a rule to the properties to obtain the orientation information.

7. The method of claim 1 wherein the step of analyzing the image includes:

creating a model of the line feature,

applying a Gabor function to the model to extract properties of the line feature, and

applying a rule to the properties to obtain the orientation information, the rule having form

arg min_j(I(x,y)*ψ

_R(x,y,ω

,φ

_j)).

8. The method of claim 1 wherein the step of comparing the characteristic value with reference information includes calculating an angular distance between the characteristic value and reference information.

9. The method of claim 1 wherein the step of comparing the characteristic value with reference information includes calculating an angular distance between the characteristic value and reference information, said angular distance having the form

$D$

( P , Q ) = ∑

y = 0 N ⁢

∑

x = 0 N ⁢

( P M ⁡

( x , y ) ⋂

Q M ⁡

( x , y ) ) ×

G ⁡

( P ⁡

( x , y ) , Q ⁡

( x , y ) ) 3 ⁢

∑

y = 0 N ⁢

∑

x = 0 N ⁢

P M ⁡

( x , y ) ⋂

Q M ⁡

( x , y ) .

10. The method of claim 1 wherein the step of comparing the characteristic value with reference information includes calculating an angular distance between the characteristic value and reference information, said angular distance having the form

$D$

( P , Q ) = ∑

y = 0 N ⁢

∑

x = 0 N ⁢

∑

i = 0 3 ⁢

( P M ⁡

( x , y ) ⋂

Q M ⁡

( x , y ) ) ⋂

( P i b ⁡

( x , y ) ⊗

Q i b ⁡

( x , y ) ) 3 ⁢

∑

y = 0 N ⁢

∑

x = 0 N ⁢

P M ⁡

( x , y ) ⋂

Q M ⁡

( x , y ) .