The Hong Kong Polytechnic University

Ajay Kumar

Cyril Kwong

Dapeng David Zhang

Qian Zheng

Yingbo Zhou

The present invention provides a new method and a device for the contactless human identification using biometrics images. The present invention develops a robust feature extraction algorithm to recover three-dimensional (3D) shape information from biometrics images. Further, it provides significantly improved performance than what is possible from the state-of-art methods, adding practicality for real applications on mobile platform, smartphones, and also as add-on system for conventional fingerprint system. The present invention's unique advantages are based on its computational simplicity, efficient matching and requiring least storage. Experiments were conducted to confirm very high accuracy and reliability on a number of biometric modalities including iris, palmprint, and finger knuckle images.

Method and device for contactless biometrics identification

The present invention discloses a contactless 3D biometric feature identification system and the method thereof. The system comprises of a fixed-viewpoint image capturing means, a lighting module capable of producing different illuminations on the object of interest and a microprocessor configured to execute a biometric identification algorithm. The algorithm starts with capturing a plurality of images with different illuminations. The captured images are then utilized to reconstruct a three dimensional surface model. Different features, for instance 2D and 3D coordinates and orientations of the biometric feature, surface curvature of the object and the local surface orientation of the object, are extracted from the captured images and the reconstructed 3D surface model. Different matching scores are also developed based on the aforesaid features to establish the identity of the biometric features.

Method of 3D biometrics identification

Contactless 3D biometric feature identification system and method thereof

A system for extracting finger vein and finger texture images from a finger of a person at the same time, the device including an image capture device configured to capture at least one image of at least one finger in a contactless manner, a feature extraction module configured to extract unique finger vein features and finger texture features from the at least one captured image, and a processing module configured to normalize the at least one captured image and integrate the extracted finger vein features and finger texture features.

Method and apparatus for personal identification using finger imaging

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.

Growing community of inventors

Hong Kong, China

Ajay Kumar