The present disclosure provides a fingerprint scanning method and a mobile terminal. The mobile terminal includes a first fingerprint scanning module and a second fingerprint scanning module. The method includes: monitoring an operation performed on a scanning area of the first fingerprint scanning module; when an operation instructing to enter a preset fingerprint application scenario is monitored, transmitting a wake-up instruction to the second fingerprint scanning module. The wake-up instruction is configured to instruct the second fingerprint scanning module to enter an operation mode.

A glucose sensor including: a transmitter configured to transmit electromagnetic waves between 1 GHz and 300 GHz; a receiver configured to receive the electromagnetic waves from the transmitter, wherein the transmitter and receiver are positioned in relation to a subject to be scanned such that the receiver receives reflected electromagnetic waves; and a control station for processing the received reflected electromagnetic waves and determining a glucose reading. A method for sensing glucose including: transmitting electromagnetic waves between 1 GHz and 300 GHz to a subject to be scanned; receiving reflected electromagnetic waves from the subject; analyzing the electromagnetic waves and reflected electromagnetic waves to determine a glucose level for the subject.

The present invention relates to a method to generate a slap/fingers foreground mask to be used for subsequent image processing of fingerprints on an image acquired using a contactless fingerprint reader having at least a flash light, said method comprising the following steps: acquisition of two images of the slap/fingers in a contactless position in vicinity of the reader, one image taken with flash light on and one image taken without flash light, calculation of a difference map between the image acquired with flash light and the image acquired without flash light, calculation of an adaptive binarization threshold for each pixel of the image, the threshold for each pixel being the corresponding value in the difference map, to which is subtracted this corresponding value multiplied by a corresponding flashlight compensation factor value determined in a flashlight compensation factor map using an image of a non-reflective blank target acquired with flash light and to which is added this corresponding value multiplied by a corresponding background enhancement factor value determined in a background enhancement factor map using the image acquired without flash light, binarization of the difference map by attributing a first value to pixels where the adaptive binarization threshold value is higher than the corresponding value in the difference map and a second value to pixels where the adaptive binarization threshold value is lower than the corresponding value in the difference map, the binarized image being the slap/fingers foreground mask.

The present invention relates to a method to segment slap images and to generate accurately labelled individual fingerprints, said method comprising the following steps:

reception of inputs images from a contactless fingerprint reader under controlled lighting conditions;

computation of a variance in the received images to estimate a slap area as a foreground slap mask in the input images;

identification of individual fingers by finding boundary of each finger;

verification of a number of fingers and of geometric constraints;

calculation of pose and orientation based on shape and geometry information;

identification of effective fingertip area on each detected finger according the pose, orientation, as well as geometric information;

output of individual fingerprints.

Embodiments of the present invention disclose a non-contact 3D fingerprint capturing apparatus and method. The apparatus includes: a housing, a circuit board and a fingerprint reader that are disposed in the housing; the circuit board includes a first control module; the fingerprint reader includes a fingerprint capturing module and a positioning module; the positioning module casts light to a first position point on a finger object; the fingerprint capturing module receives light reflected from the first position point, converts an optical signal into an electrical signal, and sends the electrical signal to the first control module; the first control module judges, according to the electrical signal, whether the first position point is a standard point, the standard point being an aperture with a diameter less than a first threshold and an illumination intensity greater than a second threshold; if the first position point is a standard point, the fingerprint capturing module captures fingerprint images from multiple directions, and transmits the fingerprint images to the first control module; and the first control module creates a 3D fingerprint image according to the fingerprint images. The embodiments of the present invention further provide a non-contact 3D fingerprint capturing method.

The non-contact capture device allows for an image of an object to be captured when the object is not making contact with any portion of the non-contact capture device. The non-contact capture device comprises an electronic compartment comprising a camera and a light source, wherein the camera and light source are directed to an image capture region, a housing guide comprising a leg extending away from the electronic compartment to support a collar, and an image capture region spaced away from the electronic compartment and the housing guide. The collar extends laterally around only a portion of the image capture region forming an entry gap into the image capture region.

Provided is a fingerprint identification apparatus which includes: a micro lens array; at least one light shielding layer; a pixel unit array; and an array of filter unit groups, where each filter unit group includes at least two filter units which transmit light signals in at least two colors respectively, where the pixel unit array includes a pixel unit group corresponding to the filter unit group, at least two pixel units in the pixel unit group receive a first light signal through the at least two filter units respectively, and a pixel unit except the at least two pixel units receives a second light signal through a transparent region between the at least two filter units, or a pixel unit between pixel unit groups receives the second light signal through a transparent region between the filter unit groups. The apparatus can improve the security of identification without affecting identification effect.

A sensor has drive lines and transverse pickup lines to define an electrode pair where each pickup line crosses a drive line. A reference pickup line is arranged parallel to the pickup lines and a compensation drive line is arranged parallel to the drive lines. A signal source provides a first signal to the drive lines and a second signal that is the inverse of the first signal to the compensation drive line. An amplifier has a first input connected to a pickup line, a second input connected to a reference pickup line, and a output indicative of an object in contact with the electrode pair(s). Each impedance between the compensation drive line and a pickup line, between the reference pickup line and a reference drive line, and between the compensation drive line and the reference pickup line is equal to the impedance at the electrode pair when no object is contact with the electrode pair.

A non-contact biometric identification system includes a hand scanner that generates images of a user's palm. Images are acquired using light of a first polarization at a first time that show surface characteristics such as wrinkles in the palm while images acquired using light of a second polarization at a second time show deeper characteristics such as veins. Within the images, the palm is identified and subdivided into sub-images. The sub-images are subsequently processed to determine feature vectors present in each sub-image. A current signature is determined using the feature vectors. A user may be identified based on a comparison of the current signature with a previously stored reference signature that is associated with a user identifier.

An electronic device may include a display layer including light transmissive portions and non-transmissive portions. The electronic device may also include a palm biometric image sensor layer beneath the display layer and configured to sense an image of a user's palm positioned above the display layer based upon light reflected from the user's palm passing through the light transmissive portions of the display layer. The electronic device may further include a controller configured to capture image data from the user's palm in cooperation with the palm biometric image sensor layer and determine a surface distortion of the user's palm based upon the image data. The controller may also be configured to perform a biometric authentication of the user's palm based upon the image data and the surface distortion.