Abstract: An identity recognition method includes: acquiring biometric pattern information describing a biometric pattern of a first object; performing feature extraction on the biometric pattern information to obtain a global pattern feature and a local pattern feature; fusing the global pattern feature and the local pattern feature to obtain a fused pattern feature of the first object; and performing identity recognition on the first object based on the fused pattern feature of the first object.

Abstract: A method for generating a palmprint sample includes: generating positioning point data according to a palmprint principal line distribution rule, the positioning point data comprising first data corresponding to a first principal line positioning point and second data corresponding to a second principal line positioning point; generating adjusting point data according to a palmprint principal line curving rule, a principal line adjusting point corresponding to the adjusting point data being configured to control a curving parameter of a principal line formed by the first principal line positioning point and the second principal line positioning point; generating a palmprint principal line based on the first data, the second data and the adjusting point data; and generating at least one palmprint sample comprising the palmprint principal line.

Abstract: Embodiments of this application disclose a palm print recognition method, a method for training a feature extraction model, a device, and a storage medium, and belong to the field of computer technologies. The method includes: obtaining sample hand images for each of a plurality of sample user identifiers, at least two of the sample hand images associated with the each of the plurality of sample user identifier being acquired from image acquisition devices having different image acquisition characteristics; calling a feature extraction model to extract sample palm print features of the plurality of sample user identifiers; and adjusting the feature extraction model according to the sample palm print features of the plurality of sample user identifiers.

Abstract: Disclosed is a multi-section non-pillar staggered protected roadway for a deep inclined thick coal seam (DITCS) and a method for coal pillar filling between sections. The multi-section non-pillar staggered protected roadway includes a floor, a coal seam, an immediate roof, and a basic roof in a multi-section coal seam, where the floor is disposed below the coal seam, a hydraulic support is disposed in a section between the floor and the immediate roof; a return airway and a transportation roadway are respectively disposed on a left side and a right side of each section; the return airway and the transportation roadway in each section are communicated with each other through a working face; and non-pillar staggered layout is used for a return airway of a next section and a transportation roadway of a current section.

Abstract: Disclosed is a multi-section non-pillar staggered protected roadway for a deep inclined thick coal seam (DITCS) and a method for coal pillar filling between sections. The multi-section non-pillar staggered protected roadway includes a floor, a coal seam, an immediate roof, and a basic roof in a multi-section coal seam, where the floor is disposed below the coal seam, a hydraulic support is disposed in a section between the floor and the immediate roof; a return airway and a transportation roadway are respectively disposed on a left side and a right side of each section; the return airway and the transportation roadway in each section are communicated with each other through a working face; and non-pillar staggered layout is used for a return airway of a next section and a transportation roadway of a current section.