Method for detecting document fraud, characterized in that it comprises: obtaining a first image of a first document and a second image of a second document; applying an image calibration procedure to the second image in order to calibrate it to the first image, the calibration procedure being based on matching points of interest identified in the first and second images; applying a procedure for detecting regions sensitive to document fraud in the first image and in the calibrated second image; dividing each detected sensitive region into a plurality of sub-portions and, for each sub-portion, calculating a signature representative of content of said sub-portion; for each sub-portion of the first image, searching for a spatially corresponding sub-portion in the calibrated second image and, for each sub-portion of the first image having a corresponding sub-portion in the second image, calculating a measure of local dissimilarity between the corresponding sub-portions based on the signatures; determining that the first and second documents are identical when a measure of global dissimilarity determined based on a probability distribution of the measures of local dissimilarities is lower than a predetermined first threshold and, when the first document is different from the second document; determining a difference level between the first and the second document on the basis of a value representative of a proportion of pixels in the first image that are located in sensitive regions belonging to a sub-portion having a corresponding sub-portion in the second image whose measure of dissimilarity is greater than a predetermined second threshold; and detecting fraud when the difference level is lower than a predetermined third threshold. obtaining a first image of a first document and a second image of a second document; applying an image calibration procedure to the second image in order to calibrate it to the first image, the calibration procedure being based on matching points of interest identified in the first and second images; applying a procedure for detecting regions sensitive to document fraud in the first image and in the calibrated second image; dividing each detected sensitive region into a plurality of sub-portions and, for each sub-portion, calculating a signature representative of content of said sub-portion; for each sub-portion of the first image, searching for a spatially corresponding sub-portion in the calibrated second image and, for each sub-portion of the first image having a corresponding sub-portion in the second image, calculating a measure of local dissimilarity between the corresponding sub-portions based on the signatures; determining that the first and second documents are identical when a measure of global dissimilarity determined based on a probability distribution of the measures of local dissimilarities is lower than a predetermined first threshold and, when the first document is different from the second document; determining a difference level between the first and the second document on the basis of a value representative of a proportion of pixels in the first image that are located in sensitive regions belonging to a sub-portion having a corresponding sub-portion in the second image whose measure of dissimilarity is greater than a predetermined second threshold; and detecting fraud when the difference level is lower than a predetermined third threshold. <EOS>