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US 8,135,181 B2Granted
Method of multi-modal biometric recognition using hand-shape and palmprint
AssigneeThe Hong Kong Polytechnic University
InventorsDapeng David Zhang, Ajay Kumar
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Abstract
The present invention relates to a method and system for a multimodal biometric system utilizing a single image to generate hand shape and palmprint features. The invention utilizes a digital camera, and incorporates feature subset selection algorithms to eliminate redundant data. The inventions, through the use of feature algorithm, successfully fuses the hand shape features and palmprint features at the features level.
Claims8
A method of multi-modal biometric recognition, comprising the steps of:
- capturing a hand image of a user by using a digital camera;
- transforming the captured hand image into a digitized image by the digital camera;
- binarizing said digitized image;
- obtaining an orientational angle θ and location information of said binarized image;
- vertically aligning said binarized image, based on the orientational angle θ and the location information from binarized shape moments, using a rotation matrix;
- establishing a geometrical center of a palmprint image of said vertically aligned image based on selected pixel(s) with highest magnitude of distance transform;
- segmenting said palmprint image;
- extracting palmprint feature vectors of said palmprint image using discrete cosine transform;
- obtaining a hand shape image from said vertically aligned image, and extracting hand shape feature vectors from localized information of the hand shape image;
- selecting a subset of the hand shape feature vectors and a subset of the palmprint feature vectors;
- fusing the subset of said hand shape feature vectors and the subset of said palmprint feature vectors to form a fused feature vector;
- and
- classifying said fused feature vector.
10 more elements
Dependencies are inferred from the claim text.