Disclosed is a biometric information acquisition system and a processing method thereof. The biometric information acquisition system comprises a transparent substrate; a light source; a photoelectric conversion device, which is located at one side of the transparent substrate with the light source, receives light reflected by the transparent substrate and generates electrical signals; a processing device for obtaining biometric information based on the electrical signals. At least a portion of the transparent substrate is made of flexible material, and fits a predetermined portion of an organism on the other side of the transparent substrate based on a curved interface, therefore, ambient light incident to the photoelectric conversion device is reduced, an interference caused by the ambient light is reduced, accuracy of acquiring biometric characteristic information is improved. Because fitting with the curved interface can increase contact area, more biometric characteristic information of the predetermined portion can be obtained.

A wearable ultrasonic device constantly emitting waves attached with a readout display device includes a frame defining a space, an ultrasonic sensor, and a display panel received in the space. The ultrasonic sensor monitors a user's health. The display panel is positioned on the ultrasonic sensor. The ultrasonic sensor includes a signal transmitting layer configured to emit ultrasonic waves. The signal transmitting layer includes a second electrode layer and a plurality of piezoelectric units formed on the second electrode layer. Each piezoelectric unit includes a second piezoelectric material layer formed on the second electrode layer and a conductive layer formed on the second piezoelectric material layer.

A sensor for sensing biometric information includes a light emitting unit that emits a first light ray, a light receiving unit that receives a second light ray, where the second light ray includes a portion of the first light ray reflected by a body of a user, and an optical layer placed over the light emitting unit and the light receiving unit. The optical layer has a first surface facing the light emitting unit and the light receiving unit and a second surface opposite the first surface. The optical layer further includes an asymmetrical protrusion structure formed on the first surface or the second surface and including a plurality of asymmetrical protrusion units. The optical layer may further include a symmetrical protrusion structure formed on the first surface or the second surface opposite the asymmetrical protrusion structure and including a plurality of symmetrical protrusion units.

A wearable article includes: an annular casing that surrounds a space into which a body of a user is to be inserted; a light-emitting element that is provided in the casing, the light-emitting element emitting light towards the space; an imaging element that is provided in the casing, the imaging element capturing and obtaining an image of the space when the light-emitting element emits light; and an authentication circuit that authenticates the user based on a vein pattern obtained in advance and the image.

A device includes an illumination device that casts light of a prescribed polarization direction on a scattering body, a camera that picks up images of the scattering body at a plurality of different polarization angles, and a processor that executes a process of generating and outputting an inner layer image, of an inner layer of an inside of the scattering body, in response to a depth from a surface of the scattering body on the basis of the images of the scattering body picked up at the plurality of different polarization angles.

In the examples provided herein, a vascular pattern recognition system integrated onto a portable card includes a vascular pattern detection system to obtain image data of blood vessels of a finger to be swiped across a detection area on the portable card, wherein the vascular pattern detection system includes a near infrared light source and an image sensor array. The vascular pattern recognition system also includes an image processor to process the image data to generate a scanned vascular pattern and compare the scanned vascular pattern to a pre-stored pattern stored on the portable card to authenticate the image data, and a security processor to generate a transaction code to authorize a transaction upon authentication of the image data.

The present disclosure relates to several types of finger vein sensor. In certain embodiments, the finger vein sensor includes: an image sensor, and an infrared light source. Image sensor captures infrared image of finger vein pattern of a finger of a target human. The image sensor faces down and is positioned at top of finger vein sensor. The infrared light source may include a predetermined number of infrared light-emitting diodes (LED), and they are arranged in one or more rows and one or more columns and positioned at bottom of finger vein sensor. The finger is positioned between infrared light source and image sensor. The infrared light from the infrared light source irradiates the finger vertically from the bottom to generate the infrared image of finger vein pattern of the finger on the image sensor, and the image sensor captures the infrared image of finger vein pattern of the finger.

A method for extracting a major vessel region from a vessel image by a processor may comprise the steps of: extracting an entire vessel region from a vessel image; extracting a major vessel region from the vessel image on the basis of a machine learning model which extracts a major vessel region; and revising the major vessel region by connecting separated vessel portions on the basis of the entire vessel region.

Introduced here are approaches to ensuring that digital images generated during diagnostic sessions are properly associated with the appropriate patients. By implementing these approaches, a diagnostic platform can minimize the time needed to manually input information prior to a diagnostic session and improve the accuracy of this information.

Introduced here are approaches to ensuring that digital images generated during diagnostic sessions are properly associated with the appropriate patients. By implementing these approaches, a diagnostic platform can minimize the time needed to manually input information prior to a diagnostic session and improve the accuracy of this information.