A medical image processing apparatus of an embodiment includes processing circuitry. The processing circuitry receives a medical image of a target region. The processing circuitry generates an image pair including a local image having local features of the target region and a global image having global features of the target region on the basis of the received medical image. The processing circuitry performs segmentation and classification of the target region on the image pair by a neural network.

The present invention relates to a method a biological information recognition apparatus and a method for activating, by the biological information recognition apparatus, a recognition row and a recognition column including a plurality of piezoelectric elements in various patterns. More specifically, the present invention relates to a biological information recognition apparatus which may be used to identify a user by recognizing biological information, such as the fingerprint, blood vessels, and bones of the user and a method for driving the same. More specifically, the present invention relates to a methodology in which a plurality of recognition rows and recognition columns within the biological information recognition apparatus are activated according to a specific pattern and when each of the recognition rows or recognition columns is activated, biological information, such as the fingerprint, blood vessels, and bones of a user, is scanned in various patterns by selectively activating piezoelectric elements forming each recognition row or recognition column.

A biometric information processing device including: a memory; a processor coupled to the memory and the processor configured to: extract a surface pattern and a blood vessel pattern of a living body from a biometric image; extract a feature point of the surface pattern; and extract a feature of the blood vessel pattern corresponding to a position of the feature point.

A biometric authentication device uses IR-VCSELs as light sources for performing biometric authentication by providing clear images. A light guide module is introduced to minimize the size of the device. Moreover, the biometric authentication device uses a single image sensing module to gather a vein image and a fingerprint image into the same detection signal which is then analyzed and compared with the pre-stored vein feature data and fingerprint feature data.

A biological imaging device comprising: an irradiation unit which emits parallel light onto a first part in a living body; and an imaging unit which takes images of the first part and a second part that is connected to the first site.

In the conventional art, there has been a problem that it is difficult to perform, with a high usability and at a high precision, authentication that accepts a wide range of variation of showing attitude of a hand or a finger and ensures obtaining a clear blood-vessel image of a finger. Provided is a blood-vessel image capturing apparatus including an opening portion formed in a surface of a housing, plural light sources disposed beside the opening portion and arranged in a lattice pattern, a sensor configured to obtain position information of a hand shown above the opening portion, a light amount control portion configured to select an irradiation light source to irradiate the hand from the plural light sources on a basis of the position information and control a light amount of the irradiation light source, and an image capturing portion configured to capture an image of a blood vessel included in a finger portion of the hand irradiated with light from the irradiation light source.

Disclosed is a wearable device. The wearable device includes an optical signal transmission unit configured to transmit optical signals, an optical signal sensing unit configured to receive reflected optical signals generated upon reflection of the optical signals by an object, a data processing unit configured to process the received reflected optical signals, and a key determination unit configured to sense a user's key input motion based on data acquired by processing the reflected optical signals and to generate an input value matching the key input motion.

A biometric information registration device includes: a memory; and a processor coupled to the memory and configured to: collect a plurality of biometric information extracted from a plurality of images of a subject, classify a posture of the subject in each of the plurality of images into one of a plurality of classes, count a number of postures that corresponds to each of the plurality of classes, and store biometric information, from among the plurality of biometric information, associated with a certain class for which the number exceeds a threshold.

The invention describes a system for or recording the usage of a firearm and helping a user during usage of the firearm using multiple sensors to gather various information. The system includes a plurality of sensors to record various usage and status data of the firearm. The system further includes a communication module communicatively coupled to the sensors. The communication module is further connected to a processor. The system further includes a memory, a clock chip and an information disseminating device that includes a communication port. The plurality of sensors are configured to gather various information about a firearm device that may be a pistol, a revolver, a gun, etc. after being attached to the firearm device. In addition to the operational information, some of the sensors out of the plurality of sensors may gather information about surrounding environment of the firearm like lighting conditions, wind flow etc. to help a user of the firearm device to use it efficiently.

A bio-sensor device includes a surface for touching by a body part, such as a finger. A light source, such as an array of LEDs, emit light through the surface so as to be reflected and partially absorbed by the body part An array of photodetectors detects light reflected back by the body part and generates signals corresponding to an image of the light reflection, which corresponds to the light absorption pattern in the body part. The light absorption pattern may correlate to a fingerprint, a blood vessel pattern, blood movement within the blood vessels, or other biometric feature. A processor receives the signals from the photodetectors and analyzes the signals to determine a characteristic of the body part. The characteristic may be used to authenticate the user of the bio-sensor device by comparing the detected characteristic to a stored characteristic.