3 results about "Hand vein" patented technology

The method comprises the steps that when it is detected that the palm of a user is placed on a door handle, a bottom palm vein recognition module is triggered to recognize palm center veins of the palm, and when the palm center veins pass verification, the bottom palm vein recognition module is triggered to recognize the palm center veins of the palm; a top palm vein recognition module is triggered to recognize hand back veins of a palm, and after verification of the hand back veins is passed, the intelligent door lock is controlled to be unlocked; or when it is detected that the palm of the user is placed on the door handle, the top palm vein recognition module is triggered to recognize the hand back vein of the palm, after the hand back vein verification is passed, the bottom palm vein recognition module is triggered to recognize the palm center vein of the palm, and after the palm center vein verification is passed, the intelligent door lock is controlled to be unlocked. According to the invention, through a palm double-sided vein recognition mechanism, unlocking is carried out only when the comparison of double characteristics is passed, so that the recognition safety of the intelligent door lock is improved.

This invention discloses a method and device for full hand vein biometric recognition to prevent spoofing attacks, relating to the fields of full hand vein recognition, biometric information recognition, and identity authentication. The method includes: Step 1, image acquisition and detection: acquiring a frontal hand image covering the palm and finger areas, ensuring the presence of a palm and a real living person in the frontal hand image; Step 2, ROI extraction: extracting the palm vein ROI and the multi-finger ROI; Step 3, feature extraction: extracting palm vein features and features of the four fingers, and generating corresponding feature hash codes; Step 4, feature matching: first matching the palm vein features, then matching the four finger features; similarity comparison is achieved by calculating the Hamming distance between the feature hash codes; Step 5, score fusion: calculating the matching scores for the palm vein features and the four finger features respectively, then performing Tanh normalization on the matching scores, and finally fusing the normalized matching scores to obtain the final recognition result.

A system and method of identifying a person using images captured from a single camera. The camera is used to image facial features and iris patterns. A person is identified by matching both the facial features and the iris patterns to patterns of previously enrolled people. The images captured by the camera are initially analyzed to sort prime images from obscured images. The prime images are processed to increase the resolution. Facial feature data and the iris pattern data are compared to data in at least one database to match data and identify the person. An illumination system is used that illuminates the person being imaged with infrared or near infrared light. The illumination system is designed to reduce specularities in captured images. The illumination system also enables the light to better penetrate the skin of the hand, if hand vein patterns are imaged.