Hangzhou Hikvision Digital Technology Co., Ltd.

Shengguo Wang

Chuan Shen

Xianlin Zhao

Congyi Hua

Method, an electronic device and a storage medium for living body detection based on face recognition are disclosed. The method comprises: obtaining to-be-detected infrared image and visible light image; performing edge detection and texture feature extraction on the infrared image, and feature extraction on the visible light image through a convolutional neural network; and determining whether the infrared and visible light images pass living body detection based on results of the edge detection and texture feature extraction on the to-be-detected infrared image, and a result of feature extraction on the to-be-detected visible light image through the convolutional neural network. The method, an electronic device and a storage medium for living body detection based on face recognition combine the advantages of three technologies of edge detection, texture feature extraction and convolution neural network, effectively perform living body detection, and improve the determination accuracy.

Living body detection method based on facial recognition, and electronic device and storage medium

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. In the present application, due to the number of pixels obtained by scanning in the preset second scanning mode is less than the number of pixels obtained by scanning in the preset first scanning mode, the size of the image before correction is reduced, and thereby the success rate of image storage is improved.

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Zhejiang, China

Shengguo Wang