Abstract: A terminal state identification method and apparatus are provided, and are applied to the field of terminal technologies. The method includes: obtaining acceleration data and magnetometer data, determining a first probability value based on the acceleration data and the magnetometer data, then determining, with reference to the first probability value, a state of getting on/off a subway by a terminal user, and finally displaying a boarding code for exit to the user when determining the state of getting off a subway. In this way, it can be accurately identified whether the user is in the state of getting off a subway, and when the state of getting off a subway is identified, a to-be-used exit card function pops up for the user. This saves a time for the user to actively open an exit card, and provides a convenient service for the user.

Abstract: A fingerprint recognition method and apparatus are provided. The method is applied to the field of fingerprint recognition technologies. The method includes: when a first fingerprint image is successfully matched, judging whether matching information of the first fingerprint image satisfies a first preset condition; when the matching information of the first fingerprint image satisfies the first preset condition, judging whether a cumulative update count of a second fingerprint template is greater than a first quantity threshold; when the cumulative update count of the second fingerprint template is greater than the first quantity threshold, judging whether priority information of the second fingerprint template satisfies a second preset condition; and when the priority information of the second fingerprint template satisfies the second preset condition, updating the second fingerprint template with the first fingerprint image.

Abstract: A fingerprint recognition method and apparatus are applied to the field of fingerprint recognition technologies. The method includes: collecting a to-be-enrolled fingerprint image; performing, based on a first calibration image, calibration processing on the to-be-enrolled fingerprint image to obtain a first fingerprint image; and determining whether an adaptive calibration image exists; and updating the first calibration image based on the first fingerprint image and a first update coefficient when the adaptive calibration image exists, to obtain a second calibration image; or generating a third calibration image based on the first fingerprint image when no adaptive calibration image exists. The third calibration image is an image obtained by performing summation and averaging on a plurality of frames of fingerprint images, or the third calibration image is an image obtained by updating the first calibration image based on the first fingerprint image.

Abstract: A method and an apparatus for fingerprint recognition are provided. The method is applied to the field of fingerprint recognition technologies. The method includes: acquiring a to-be-verified fingerprint image; determining a first eigenvector based on the to-be-verified fingerprint image, where the first eigenvector is obtained by performing dimensionality reduction processing on a second eigenvector using a first orthogonal matrix, and the second eigenvector is used to represent a feature of the to-be-verified fingerprint image; and performing fingerprint matching based on the first eigenvector and a third eigenvector, where the third eigenvector is obtained by performing dimensionality reduction processing on a fourth eigenvector using the first orthogonal matrix, the fourth eigenvector is used to represent a feature of a first fingerprint template, and the third eigenvector is stored in a fingerprint template library.

Abstract: A terminal state identification method and apparatus are provided, and are applied to the field of terminal technologies. The method includes: determining a first probability value based on acceleration data; determining a second probability value based on the acceleration data; determining a state of a terminal user based on the first probability value and the second probability value, where the state of the terminal user includes a first state, a second state, and a third state, when determining that the terminal user is in the first state, where the first interface includes a first window, and the first window is used to display travel recommendation information for a current location to the user.

Abstract: The method includes: obtaining features of L key points of a first fingerprint image; determining G pairs of key points based on the L key points of the first fingerprint image and L key points of a first fingerprint template; sorting the G pairs of key points based on the first distance parameter corresponding to each pair of key points, and determining N pairs of key points from the G pairs of key points that are sorted; determining a first rotation matrix using the N pairs of key points, and rotating the first fingerprint image based on the first rotation matrix to obtain a second fingerprint image, where the second fingerprint image is in a same direction as the first fingerprint template; and performing similarity matching using the second fingerprint image and the first fingerprint template.

Abstract: This application provides a riding tool identification method and a device. The method includes: obtaining at least one of an acceleration signal acquired by an acceleration sensor and a magnetometer signal acquired by a magnetometer sensor in an electronic device; identifying a riding tool based on at least one of an acceleration feature and a magnetometer feature, to obtain a riding classification result, where the acceleration feature is obtained based on the acceleration signal, and the magnetometer feature is obtained based on the magnetometer signal; obtaining a voice signal acquired by a microphone in the electronic device, and extracting a voice feature based on the voice signal; recognizing a voice broadcast during ride based on the voice feature, to obtain a voice broadcast recognition result; and determining a category of the riding tool based on the riding classification result and the voice broadcast recognition result.