Egis Technology Inc.

Lite-on Technology Corporation

Silitek Electronic (guangzhou) Co., Ltd.

Yu-Chun Cheng

Yuan-Lin Chiang

Todd Lin

Jun-Chao Lu

Yong-Huai Huang

The present disclosure relates to an updating method for configuration parameters of an electronic device, a device and a computer-readable medium, wherein the updating method includes: acquiring fingerprint information collected by a fingerprint sensor at the electronic device; determining whether the fingerprint information is collected in a trusted mode; acquiring, in response to determining that the fingerprint information is collected in the trusted mode, a target configuration parameter of the electronic device for anti-spoofing detection according to the fingerprint information; and updating, in response to that the target configuration parameter of the electronic device and/or a current configuration parameter of the electronic device satisfies a preset condition, the current configuration parameter of the electronic device based on the target configuration parameter of the electronic device, wherein the current configuration parameter is used by the electronic device for anti-spoofing detection of a fingerprint in fingerprint information to be recognized. The solution of the present disclosure can update configuration parameters of the electronic device under certain conditions, thereby realizing high precision of anti-spoofing detection.

Updating method for configuration parameters of electronic device, device and computer-readable medium

An electronic device with a fingerprint sensing function and a fingerprint image processing method are provided. The electronic device includes a processor, a fingerprint sensor, and a temperature sensor. The fingerprint sensor is coupled to the processor. The fingerprint sensor is configured to obtain a current fingerprint image. The temperature sensor is coupled to the processor. The temperature sensor is configured to obtain current temperature information. The processor obtains current background noise according to the current temperature information, and removes the background noise from the current fingerprint image to generate a corrected fingerprint image.

Electronic device with fingerprint sensing function and fingerprint image processing method

An electronic device for distinguishing between fingerprint feature points and non-fingerprint feature points and a method for the same are provided. A plurality of feature points are extracted from a fingerprint input image, and non-fingerprint feature points are distinguished from fingerprint feature points and deleted. Accordingly, the electronic device for distinguishing between fingerprint feature points and non-fingerprint feature points and the method for the same can prevent non-fingerprint feature points from existing in a fingerprint registration template of a user, so as to protect fingerprint recognition from being affected by non-fingerprint feature points, thereby increasing safety and accuracy of identity authentication.

Electronic device for distinguishing between fingerprint feature points and non-fingerprint feature points and method for the same

A fingerprint recognition method adapted to an electronic device is provided. The electronic device includes a processing unit and a fingerprint sensor. The fingerprint recognition method includes steps of: obtaining a plurality of swiping frames; extracting a plurality of feature points respectively from the plurality of swiping frames to generate a plurality of pre-registered fingerprint datasets accordingly; merging the plurality of pre-registered fingerprint datasets; generating a registration template according to the merged pre-registered fingerprint datasets; obtaining a pressing frame; extracting a plurality of feature points from the pressing frame to generate a verifying fingerprint dataset; and comparing the verifying fingerprint dataset with the registration template, so as to determine whether the verifying fingerprint dataset matches the registration template. The above electronic device is also provided.

Fingerprint recognition method and electronic device using the same

An electronic device and a registration template generating method are provided. The method includes: obtaining first biometric information; determining, by first software, whether the first biometric information passes verification according to the first biometric information and a first registration template; generating, by second software, a pre-enrolled dataset according to the first biometric information if the first biometric information passes verification; generating a second registration template corresponding to the second software according to the pre-enrolled dataset when an amount of data of the pre-enrolled dataset is greater than a threshold; and determining, by the second software, whether second biometric information passes verification according to the second biometric information and the second registration template when the second biometric information is obtained.

Electronic device and software updating and registration template generating method

A method and electronic device for updating registered fingerprint datasets of fingerprint recognition are provided. The method includes the steps of obtaining an verifying fingerprint dataset, wherein an inputting type of the verifying fingerprint dataset is a pressing type and comparing the verifying fingerprint dataset with a plurality of registered fingerprint datasets, wherein the plurality of registered fingerprint datasets are stored in a storage device; when the verifying fingerprint dataset matches one of the plurality of registered fingerprint datasets, determining whether the inputting type of the registered fingerprint dataset is the same as the inputting type of the verifying fingerprint dataset; and if the inputting type of the registered fingerprint dataset is different from the inputting type of the verifying fingerprint dataset, replacing the registered fingerprint dataset with the verifying fingerprint dataset, wherein the inputting type of the registered fingerprint dataset is a swiping type.

Method and electronic device for updating the registered fingerprint datasets of fingerprint recognition

A fingerprint recognition device and method thereof are provided. The fingerprint recognition method includes: obtaining a plurality of swiping frames; generating a plurality of registered fingerprint datasets according to the swiping frames; obtaining a pressing fingerprint dataset; and comparing the pressing fingerprint dataset with the registered fingerprint datasets.

Fingerprint recognition methods and devices

A fingerprint matching device and method are provided. The fingerprint matching method applied to a swipe sensor includes: obtaining first swiping dataset; generating registered dataset from the first swiping dataset, wherein the registered dataset includes a first number of frames; extracting second swiping dataset, wherein the second swiping dataset includes a second number of frames and the second number is greater than the first number; and comparing the frames of the second swiping dataset with the registered dataset.

Fingerprint matching methods and device

A fingerprint recognition method and electronic device are provided. The fingerprint recognition method includes the steps of obtaining first input data; generating a first waveform diagram corresponding to a first minutia of the first input data; obtaining second input data; generating a second waveform diagram corresponding to a second minutia of the second input data; and comparing the first waveform diagram with the second waveform diagram.

Method and electronic device for fingerprint recognition

An electronic device and method are provided. The fingerprint recognition method includes: obtaining a verification fingerprint image; transmitting the verification fingerprint image to the second processing unit; generating verification fingerprint data according to the verification fingerprint image by the second processing unit; transmitting the verification fingerprint data to the first processing unit by the second processing unit; comparing the verification fingerprint data with a plurality of registered fingerprint datasets to generate matching information by the first processing unit; transmitting the matching information from the first processing unit to the second processing unit; and verifying the verification fingerprint data according to the matching information by the second processing unit.

Fingerprint recognition methods and electronic device

An electronic device and fingerprint-recognition method are provided. The method includes: transmitting first part registered fingerprint datasets to the first processing unit; obtaining second part registered fingerprint datasets; obtaining a verification fingerprint image; transmitting the verification fingerprint image to the first processing unit to generate verification fingerprint data; dividing the verification fingerprint data into first part and second part verification fingerprint data; comparing the verification fingerprint data with the registered fingerprint datasets to generate a first matching result and matching information; transmitting the first matching result, the first part verification fingerprint data and the matching information to the second processing unit; comparing the first part verification fingerprint data with one of the first part registered fingerprint datasets to generate a second matching result according to the matching information; and comparing the first matching result and the second matching result to verify the verification fingerprint data.

An electronic device and method thereof are provided. The fingerprint recognition method includes: scanning a verifying fingerprint, obtaining a similarity value between the verifying fingerprint and a registered fingerprint, comparing the similarity value with a first threshold, determining that the verifying fingerprint matches the registered fingerprint if the similarity value is equal to or greater than the first threshold; comparing the similarity value with a second threshold, wherein the second threshold is greater than the first threshold; and storing the verifying fingerprint if the similarity value is equal to or smaller than the second threshold.

Fingerprint recognition method and device thereof

A method and electronic device for generating fingerprint enrollment data are provided. The method includes the steps of capturing first input data, wherein the first input data is divided into a plurality of first blocks and each of the first blocks has an index value; capturing second input data, wherein the second input data is divided into a plurality of second blocks and each of the second blocks has the index value; comparing and combining the first input data with the second input data to generate a comparison result; accumulating the index values of the first blocks and the second blocks in an area of overlapping between the first input data and second input data; and generating prompting information according to the comparison result.

Method and electronic device for generating fingerprint enrollment data

A fingerprint recognition method includes the following steps: obtaining a to-be-recognized fingerprint image of a to-be-recognized finger; extracting to-be-recognized data of the to-be-recognized fingerprint image, the to-be-recognized data including a to-be-recognized minutiae data set and a to-be-recognized skeleton; loading a minutiae-skeleton array of a registered finger, the minutiae-skeleton array including a plurality of elements, each of the plurality of elements including a registered minutiae data set and a registered skeleton; performing minutiae-skeleton verification on the to-be-recognized data and the minutiae-skeleton array to generate a verification result.

A light sensing apparatus and method for luminaire calibration are provided. Since the lighting frequencies of LEDs are modulated in sequence and a light sensing unit is activated and deactivated periodically, the light intensity received from each LED channel can be measured in sequence. In particular, only the light signals from one channel at one time can be sensed. Further, the received light signals for each channel are compared with the ideal value, and the result can be used for LEDs' calibration. According to the preferred embodiment of the invention, the sensing apparatus includes a plurality of LEDs, regulators, and single light sensing unit for retrieving the light intensities without any switching circuit should be installed. After that, the signals will be transmitted into a driving controller that can switch the light sensing unit, and the light sensing unit can measure the light intensities in a specific period.

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Taipei, Taiwan

Yu-Chun Cheng