Abstract:
The present disclosure discloses method for calculating an area of a fingerprint overlapping region, including: collecting a to-be-matched fingerprint to obtain a to-be-matched fingerprint image; searching multiple pairs of matching characteristic points between the to-be-matched fingerprint image and a preset template fingerprint image; obtaining an image offset of the to-be-matched fingerprint image according to the multiple pairs of matching characteristic points; based on the image offset, adjusting a position of the to-be-matched fingerprint image to obtain an overlapping region between the to-be-matched fingerprint image and the preset template fingerprint image; and calculating a total number of image pixels within the overlapping region, and calculating an area of the overlapping region based on the total number of image pixels within the overlapping region. In the above calculation method, by dividing the overlapping region into individual image pixels and calculating the number of image pixels in the overlapping region to calculate the area of the overlapping region, it is possible to calculate the area of the overlapping region of any shape, and the calculated area is accurate at the pixel level. Thus, the calculated area may be more accurate, facilitating subsequent calculation, making fingerprint matching more accurate, and improving the user experience. The present disclosure also discloses an electronic device.
Abstract:
In the fingerprint identification system according to the present disclosure, the fingerprint sensor collects multiple frames of fingerprint images sliding-inputted by a user, the judging unit determines whether, among the multiple frames of fingerprint images, there is a first overlap region between a current frame of fingerprint images and a previous frame of fingerprint images; if yes, the judging unit removes the first overlap region from the current frame of fingerprint images and superposes the previous frame of fingerprint images with the current frame of fingerprint images to form a superposed fingerprint image; the judging unit completes judgment of all the multiple frames of fingerprint images to obtain a template fingerprint image; the processing unit saves characteristic points of the complete template fingerprint image. The fingerprint sensor collects a to-be-identified fingerprint image pressing-inputted by the user, and the processing unit determines whether the characteristic points of the to-be-identified fingerprint image match with the characteristic points of the template fingerprint image. When establishing template fingerprint database, the fingerprint identification system collects the fingerprint sliding-inputted by the user and the to-be-identified fingerprint pressing-inputted by the user in the subsequent matching process. Therefore, the input and identification efficiency is much higher than that of existing methods. The present disclosure also provides a fingerprint identification method and an electric equipment.
Abstract:
A capacitance detecting device for fingerprint identification comprises a conductive border (200), a detecting screen (100) and a detecting module (300). The detecting screen (100) comprises a plurality of detecting units (110). Each detecting unit (110) comprises a first conductive layer (111), a second conductive layer (112), a third conductive layer (113) and a fourth conductive layer (114). The detecting module (300) is configured to charge a sensing capacitance between the first conductive layer (111) and a finger (5) in contact with the detecting screen (100) and a feedback capacitance between the first conductive layer (111) and the second conductive layer (112) at a sampling stage, to control electric charges of the sensing capacitance and the feedback capacitance to transfer to an integrating capacitance between the third conductive layer (113) and the fourth conductive layer (114) at an integral stage, to measure a voltage variation of the integrating capacitance at the integral stage and to calculate the sensing capacitance according to the voltage variation. A fingerprint identification apparatus is also provided.
Abstract:
A vehicle (3000), having a battery system (2000), and the battery system (2000) having a battery cell management chip (10), wherein the chip (10) comprises a collection circuit (102), a power source (103), a processing circuit (101), and a dynamic protection circuit (106); the collection circuit (102) is used for collecting a parameter value of a working parameter of a single battery cell (2001) and transmitting the parameter value to the processing circuit (101); the power source (103) supplies power to the processing circuit (101); a storage circuit (105) is used for storing a dynamic protection threshold value for the working parameter; the processing circuit (101) is used for adjusting the working state of the single battery cell (2001) in the case of an anomaly; and the dynamic protection circuit (106) is used for adjusting the working state of the single battery cell (2001) according to the dynamic protection threshold value.
Abstract:
The present disclosure provides a method and an apparatus for adjusting an excitation voltage of a fingerprint detection chip and a fingerprint detection chip. The method for adjusting an excitation voltage of a fingerprint detection chip includes: S1, transmitting an excitation signal to the metal ring by the signal transmitting unit, so as to detect a capacitance value of a coupling capacitance formed between the plurality of detection units in the second detection area and the metal ring; or enabling the metal ring grounded, and applying an excitation signal to the plurality of detection units in the second detection area by the signal transmitting unit, so as to detect a capacitance value of a coupling capacitance formed between the plurality of detection units in the second detection area and the metal ring; and S2, adjusting an excitation voltage of the first detection area according to the capacitance value of the coupling capacitance formed between the plurality of detection units in the second detection area and the metal ring.
Abstract:
The present disclosure provides a fingerprint detection circuit and method. The circuit includes a fingerprint collecting module and a processing module. The fingerprint collecting module includes a plurality of collecting units, and each collecting unit has a regulation voltage and is configured to output a first voltage or a second voltage according to a capacitance value of one of ridge capacitors, a capacitance value of one of ridge capacitors and the regulation voltage. The processing module is configured to amplify the first and second voltages by a predetermined factor, to calculate a difference between the amplified first and second voltages, and to determine whether the difference is greater than or equal to the predetermined threshold. If no, the processing module adjusts at least one parameter, and configures the fingerprint detection circuit using at least one adjusted parameter.
Abstract:
A method for detecting one or more objects is disclosed. In one embodiment, the method comprises the steps of: receiving one or more induction signals caused by at least one object along one or more directions; comparing each received induction signal with a reference to detect at least one upward trend and/or at least one downward trend in the induction signal; and determining the number of objects based on the number of upward trend and/or downward trend in each received induction signal. A device for detecting one or more objects on a touch device is also disclosed.
Abstract:
A method for cancelling background noise of an audio device comprises determining characteristic values of an audio signal to construct a characteristic signal reflecting a change trend of the audio signal, multiplying the determined characteristic signal with the audio signal to construct a multiplication signal, and amplifying the multiplication signal.