The Hong Kong Polytechnic University

Nan Luo

David Zhang

Guangming Lu

Lei Zhang

Wei Li

Zhenhua Guo

Lin Zhang

Qijun Zhao

Hailong Zhu

Vivek Kanhangad

A method for partial fingerprint recognition, the method comprising the steps of extracting features including ridge orientations, valley images, minutiae, and pores from at least two fingerprint fragments, aligning the fingerprint fragments, matching the pores and minutiae on the fingerprint fragments after applying estimated alignment transformation, calculating a final matching score based on a pore matching score and a minutiae matching score, identifying a person based on a result of the final matching score.

Partial fingerprint recognition

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.

Method and system for personal identification using 3D palmprint imaging

A method of personal identification includes switching between visible and near infrared light, acquiring palmprint image and palm vein image from a person under the visible and the near infrared light, extracting sub-images from the palmprint image and the palm vein image based on a region of interest, extracting multiple features from the sub-images, and matching the extracted multiple features with stored information in a database to authenticate the person.

Method and apparatus for personal identification using palmprint and palm vein

A method for identifying a person using their finger-joint print including the outer skin around the proximal interphalangeal joint of a finger, the method comprising: capturing () an image of the finger-joint print of the person; extracting () a region of interest (ROI) based on a local convexity property of the finger-joint print; extracting () features representing the orientation of the lines in a finger-joint print image from the ROI using an extended Gabor phase coding scheme and the extracted features are represented in competitive code maps; wherein angular distance between the competitive code maps is compared () with a reference set in a database to identify the person.

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Nan Luo