Method and system for personal identification using 3D palmprint imaging
AssigneeThe Hong Kong Polytechnic University
InventorsDavid Zhang, Guangming Lu, Nan Luo, Wei Li, Lei Zhang, Vivek Kanhangad
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Abstract
A biometric identification system (30) for identifying a person, the system (30) comprising: an image acquisition module (31) to capture a three-dimensional (3D) image of a palm of the person; a region of interest (ROI) extraction module (34) to extract a 3D subimage from the captured image; and a 3D features extraction module (36) to extract 3D palmprint features from the 3D subimage; wherein the extracted 3D palmprint features are compared to reference 3D palmprint features to verify the identity of the person.
Claims9
A biometric identification system for identifying a person, the system comprising:
- an image acquisition module to capture a three-dimensional (3D) image of a palm of the person;
- a region of interest (ROI) extraction module to extract a 3D subimage from the captured image;
- and
- a 3D features extraction module to extract 3D palmprint features from the 3D subimage;
- wherein the extracted 3D palmprint features are compared to reference 3D palmprint features to verify the identity of the person, and
- wherein the ROI extraction module extracts a two-dimensional (2D) subimage from the captured image, and further comprises:
- a 2D features extraction module to extract 2D palmprint features from the 2D subimage and to generate competitive code maps using the extracted 2D palmprint features, and
- wherein angular distances between the competitive code maps and reference competitive code maps are calculated in order to identify the person.
A biometric identification system for identifying a person, the system comprising:
- an image acquisition module to capture a three-dimensional (3D) image of a palm of the person;
- a region of interest (ROI) extraction module to extract a 3D subimage from the captured image;
- and
- a 3D features extraction module to extract 3D palmprint features from the 3D subimage;
- wherein the extracted 3D palmprint features are compared to reference 3D palmprint features to verify the identity of the person,
- wherein the 3D features extraction module generates a curvature map using the extracted 3D palmprint features, and the curvature map is compared to a reference curvature map to determine whether a high correlation exists between the curvature maps in order to verify the identity of the person, and
- wherein the 3D features extraction module uses a normalized local correlation method is used to compare the curvature map to the reference curvature map, using the expression:
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- where Pij and Qij are curvature values in the neighborhood of the points being matched in the curvature map and reference curvature map, respectively, and P and Q are the mean curvature values in those neighborhoods.
Dependencies are inferred from the claim text.