Abstract: A living body detection method and device are disclosed. Wherein the method comprises the following steps: extracting valid depth data of a target detection object from depth map data containing the target detection object; generating a depth difference histogram based on the valid depth data; and inputting the depth difference histogram into a pre-trained machine learning classifier to obtain a determination result of whether the target detection object is a living body. By adopting this method, the detection accuracy can be improved.

Abstract: Embodiments of the present application provide an image storage method and apparatus, and an electronic device and a storage medium. In the method, pixel data obtained by scanning with a first partial region of a scanning region is acquired as first pixel data, and the first pixel data is stored in a storage space; the first pixel data is corrected by using a preset correction algorithm to obtain second pixel data, and the second pixel data is stored in the storage space; if it is determined that the remaining space of the storage space meets the preset condition, the pixel data obtained by scanning with the remaining region of the scanning region is acquired as the third pixel data, and the third pixel data is stored in the storage space; wherein, the scanning mode of the remaining region is a preset second scanning mode; and the third pixel data is corrected by using the preset correction algorithm to obtain fourth pixel data, and the fourth pixel data is stored in the storage space.

Abstract: Provided are a method and apparatus for preventing an illegal attack, and an electronic device. According to one embodiment, the method comprises: when a user feature of a user is identified successfully, determining whether a living body detection result for the user feature indicates failure; if the living body detection result for the user feature indicates failure, locking a feature ID when the feature ID of the user feature is not locked and a locking condition of the feature ID is satisfied currently; and if the living body detection result for the user feature indicates success, unlocking the feature ID when the feature ID of the user feature is locked and an unlocking condition of the locked feature ID is satisfied currently.

Abstract: A living body detection method and device are disclosed. Wherein the method comprises the following steps: extracting valid depth data of a target detection object from depth map data containing the target detection object; generating a depth difference histogram based on the valid depth data; and inputting the depth difference histogram into a pre-trained machine learning classifier to obtain a determination result of whether the target detection object is a living body. By adopting this method, the detection accuracy can be improved.

Abstract: Provided are a method and apparatus for preventing an illegal attack, and an electronic device. According to one embodiment, the method comprises: when a user feature of a user is identified successfully, determining whether a living body detection result for the user feature indicates failure; if the living body detection result for the user feature indicates failure, locking a feature ID when the feature ID of the user feature is not locked and a locking condition of the feature ID is satisfied currently; and if the living body detection result for the user feature indicates success, unlocking the feature ID when the feature ID of the user feature is locked and an unlocking condition of the locked feature ID is satisfied currently.

Abstract: Embodiments of the present application provide an image storage method and apparatus, and an electronic device and a storage medium. In the method, pixel data obtained by scanning with a first partial region of a scanning region is acquired as first pixel data, and the first pixel data is stored in a storage space; the first pixel data is corrected by using a preset correction algorithm to obtain second pixel data, and the second pixel data is stored in the storage space; if it is determined that the remaining space of the storage space meets the preset condition, the pixel data obtained by scanning with the remaining region of the scanning region is acquired as the third pixel data, and the third pixel data is stored in the storage space; wherein, the scanning mode of the remaining region is a preset second scanning mode; and the third pixel data is corrected by using the preset correction algorithm to obtain fourth pixel data, and the fourth pixel data is stored in the storage space.