A method for recognizing a fingerprint ridge point, comprising: receiving an input fingerprint image, and performing orientation field estimation on the fingerprint image; traversing a pixel in the fingerprint image as a target pixel, and acquiring a ridge direction, obtained according to orientation field estimation, of the target pixel and a normal direction perpendicular to the ridge direction; defining a rectangular region by using the target pixel as a central point, lengthwise and widthwise extending directions of the rectangular region being respectively corresponding to the ridge direction and the normal direction of the target pixel, and the rectangular region comprising multiple pixel rows stacked in the normal direction; and calculating a sum of grayscale values of pixels in each pixel row, and determining that the target pixel is a fingerprint ridge point when a sum of grayscale values corresponding to a pixel row that comprises the target pixel is the minimum, wherein the step of defining a rectangular region by using the target pixel as a central point further comprises: calculating an average ridge distance of the fingerprint image, and setting a first quantity of the pixel rows to be less than a quantity of pixels corresponding to the average ridge distance, wherein the first quantity indicates an extent of the rectangular region in the normal direction, wherein after the step of setting the first quantity of the pixel rows according to a ridge interval length, the method further comprises: setting, according to the first quantity of the pixel rows, a second quantity of pixels comprised in each pixel row, a value of the second quantity is 1/3 to 2/3 of that of the first quantity. receiving an input fingerprint image, and performing orientation field estimation on the fingerprint image; traversing a pixel in the fingerprint image as a target pixel, and acquiring a ridge direction, obtained according to orientation field estimation, of the target pixel and a normal direction perpendicular to the ridge direction; defining a rectangular region by using the target pixel as a central point, lengthwise and widthwise extending directions of the rectangular region being respectively corresponding to the ridge direction and the normal direction of the target pixel, and the rectangular region comprising multiple pixel rows stacked in the normal direction; and calculating a sum of grayscale values of pixels in each pixel row, and determining that the target pixel is a fingerprint ridge point when a sum of grayscale values corresponding to a pixel row that comprises the target pixel is the minimum, wherein the step of defining a rectangular region by using the target pixel as a central point further comprises: calculating an average ridge distance of the fingerprint image, and setting a first quantity of the pixel rows to be less than a quantity of pixels corresponding to the average ridge distance, wherein the first quantity indicates an extent of the rectangular region in the normal direction, wherein after the step of setting the first quantity of the pixel rows according to a ridge interval length, the method further comprises: setting, according to the first quantity of the pixel rows, a second quantity of pixels comprised in each pixel row, a value of the second quantity is 1/3 to 2/3 of that of the first quantity. calculating an average ridge distance of the fingerprint image, and setting a first quantity of the pixel rows to be less than a quantity of pixels corresponding to the average ridge distance, wherein the first quantity indicates an extent of the rectangular region in the normal direction, wherein after the step of setting the first quantity of the pixel rows according to a ridge interval length, the method further comprises: setting, according to the first quantity of the pixel rows, a second quantity of pixels comprised in each pixel row, a value of the second quantity is 1/3 to 2/3 of that of the first quantity. setting, according to the first quantity of the pixel rows, a second quantity of pixels comprised in each pixel row, a value of the second quantity is 1/3 to 2/3 of that of the first quantity.