A method for fingerprint identification, characterized by comprising: extracting a minutia of an input fingerprint image by using a statistical method; and performing fingerprint matching according to the extracted minutia to obtain a fingerprint identification result; wherein the extracting the minutia of the input fingerprint image by using the statistical method comprises: calculating a direction of the minutia by using regional statistical information; adding a descriptor with statistical significance for the minutia according to the direction of the minutia; and extracting a triangle vertex direction of the minutia; wherein the calculating the direction of the minutia by using the regional statistical information comprises: selecting a statistical region of a certain minutia; calculating and weighting gradient directions of all minutiae within the statistical region; characterized in that the method for fingerprint identification further comprises: performing statistics to obtain a gradient direction distribution of all the minutiae within the statistical region according to the gradient directions and weighted values of all the minutiae within the statistical region; performing an interpolation operation according to the gradient direction distribution to obtain a direction distribution function; and finding a maximum of the direction distribution function to obtain the direction of the minutia, and returning to the step of selecting a statistical region of a certain minutia until all minutiae of the input fingerprint image are traversed. extracting a minutia of an input fingerprint image by using a statistical method; and performing fingerprint matching according to the extracted minutia to obtain a fingerprint identification result; wherein the extracting the minutia of the input fingerprint image by using the statistical method comprises: calculating a direction of the minutia by using regional statistical information; adding a descriptor with statistical significance for the minutia according to the direction of the minutia; and extracting a triangle vertex direction of the minutia; wherein the calculating the direction of the minutia by using the regional statistical information comprises: selecting a statistical region of a certain minutia; calculating and weighting gradient directions of all minutiae within the statistical region; characterized in that the method for fingerprint identification further comprises: performing statistics to obtain a gradient direction distribution of all the minutiae within the statistical region according to the gradient directions and weighted values of all the minutiae within the statistical region; performing an interpolation operation according to the gradient direction distribution to obtain a direction distribution function; and finding a maximum of the direction distribution function to obtain the direction of the minutia, and returning to the step of selecting a statistical region of a certain minutia until all minutiae of the input fingerprint image are traversed. calculating a direction of the minutia by using regional statistical information; adding a descriptor with statistical significance for the minutia according to the direction of the minutia; and extracting a triangle vertex direction of the minutia; wherein the calculating the direction of the minutia by using the regional statistical information comprises: selecting a statistical region of a certain minutia; calculating and weighting gradient directions of all minutiae within the statistical region; characterized in that the method for fingerprint identification further comprises: performing statistics to obtain a gradient direction distribution of all the minutiae within the statistical region according to the gradient directions and weighted values of all the minutiae within the statistical region; performing an interpolation operation according to the gradient direction distribution to obtain a direction distribution function; and finding a maximum of the direction distribution function to obtain the direction of the minutia, and returning to the step of selecting a statistical region of a certain minutia until all minutiae of the input fingerprint image are traversed. selecting a statistical region of a certain minutia; calculating and weighting gradient directions of all minutiae within the statistical region; characterized in that the method for fingerprint identification further comprises: performing statistics to obtain a gradient direction distribution of all the minutiae within the statistical region according to the gradient directions and weighted values of all the minutiae within the statistical region; performing an interpolation operation according to the gradient direction distribution to obtain a direction distribution function; and finding a maximum of the direction distribution function to obtain the direction of the minutia, and returning to the step of selecting a statistical region of a certain minutia until all minutiae of the input fingerprint image are traversed. performing statistics to obtain a gradient direction distribution of all the minutiae within the statistical region according to the gradient directions and weighted values of all the minutiae within the statistical region; performing an interpolation operation according to the gradient direction distribution to obtain a direction distribution function; and finding a maximum of the direction distribution function to obtain the direction of the minutia, and returning to the step of selecting a statistical region of a certain minutia until all minutiae of the input fingerprint image are traversed.