Abstract: A biometric image processing method and an electronic device are provided. The biometric image processing method includes the following steps: obtaining a first biometric image; capturing a plurality of grayscale values of a first portion of pixels of the first biometric image and combining the plurality of grayscale values of the first portion of pixels of the first biometric image to generate a first sub-image; performing an image processing procedure on the first sub-image; replacing the plurality of grayscale values of the first portion of pixels of the first biometric image by a plurality of grayscale values of all of the pixels of the first sub-image after the image processing; and performing a mask operation on a plurality of unreplaced grayscale values of other portions of pixels of the first biometric image to generate a second biometric image.

Abstract: A fingerprint sensing device includes a fingerprint sensor and a processor. The fingerprint sensor is configured to acquire a plurality of fingerprint reference frames. The processor is coupled to the fingerprint sensor. The processor is configured to superimpose the plurality of fingerprint reference frames. The processor analyzes the plurality of fingerprint reference frames to determine multiple first regions and multiple second regions of the plurality of fingerprint reference frames. The processor calculates multiple reference pixel values of the plurality of fingerprint reference frames according to multiple weight value functions to generate a superimposed fingerprint frame. The weight value functions corresponding to the first regions of the plurality of fingerprint reference frames are linearly changed.

Abstract: A fingerprint sensing device includes a fingerprint sensor and a processor. The fingerprint sensor is configured to acquire a plurality of fingerprint reference frames. The processor is coupled to the fingerprint sensor. The processor is configured to superimpose the plurality of fingerprint reference frames. The processor analyzes the plurality of fingerprint reference frames to determine multiple first regions and multiple second regions of the plurality of fingerprint reference frames. The processor calculates multiple reference pixel values of the plurality of fingerprint reference frames according to multiple weight value functions to generate a superimposed fingerprint frame. The weight value functions corresponding to the first regions of the plurality of fingerprint reference frames are linearly changed.

Abstract: A biometric image processing method and an electronic device are provided. The biometric image processing method includes the following steps: obtaining a first biometric image; capturing a plurality of grayscale values of a first portion of pixels of the first biometric image and combining the plurality of grayscale values of the first portion of pixels of the first biometric image to generate a first sub-image; performing an image processing procedure on the first sub-image; replacing the plurality of grayscale values of the first portion of pixels of the first biometric image by a plurality of grayscale values of all of the pixels of the first sub-image after the image processing; and performing a mask operation on a plurality of unreplaced grayscale values of other portions of pixels of the first biometric image to generate a second biometric image.

Abstract: An underwater digital camera includes an image capturing unit, an underwater conditions sensing unit, a memory, and a processor. The image capturing unit is used for capturing images. The underwater condition sensing unit is used for sensing underwater conditions. The processor is used for writing the underwater conditions into the memory together with an image currently captured by image capturing unit while underwater.