Abstract: 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.

Abstract: A method of 3D biometrics identification includes the steps of acquiring 3D image(s) of fingerprint; performing image normalization and feature extraction steps involving, noise elimination, ridge extraction, ridge modification and ridge validation; extracting 3D fingerprint minutiae and performing the reliability evaluation of the extracted 3D fingerprint minutiae; automatically extracting of 3D fingerprint template comprising at least five features; and automatically registering two 3D fingerprint templates, say P and Q, by computing relative 3D minutiae representation from a 3D minutiae in P (sample) considered as the origin and aligning every 3D minutiae in Q to compute best possible matching score, wherein every 3D minutiae in template P is further considered as the origin for the alignment of 3D minutiae in template Q, and the best possible matching score obtained from such considerations (candidate alignments) is considered as the final matching score between two 3D fingerprint templates.

Abstract: 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.

Abstract: 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.