Method for identifying at least one sign on at least one image of a document that can be distorted , said method being implemented by a data processing device able to be connected to a first storage device , said method comprising steps of: - acquiring (E1) said at least one digital image of said document, - determining (E2) in the acquired image at least one sub-part of the acquired image, referred to as candidate sign region, using an image segmentation algorithm, - for each candidate sign region, calculating (E3) a signature comprising information relating to the location in the acquired image of said candidate sign region and a region descriptor relating to local characteristics of the image in said region, - identifying (E4) at least one sign on said at least one image of said document from the calculated signatures, said identification step comprising jointly a comparison (E41) of the calculated signatures with reference signatures relating to sign regions of document models stored in the first storage device , said comparison being carried out according to a geometric distortion model of said document, and an estimation (E42) according to said comparison of said geometric distortion model, wherein for each candidate sign region: - said comparison step (E41) comprises: - a comparison of the signature calculated for said region with said reference signatures stored in said first storage device, - a matching of the calculated signature with a reference signature according to said comparison and to a geometric distortion model of the current document stored in a second storage device connected to said data processing device , in such a way as to identify said candidate sign region, - and said estimation step (E42) comprises: - an estimating of a new geometric distortion model of said document from said current geometric distortion model and said matching, - a storing in the second storage device of said new distortion model as a current distortion model. - acquiring (E1) said at least one digital image of said document, - determining (E2) in the acquired image at least one sub-part of the acquired image, referred to as candidate sign region, using an image segmentation algorithm, - for each candidate sign region, calculating (E3) a signature comprising information relating to the location in the acquired image of said candidate sign region and a region descriptor relating to local characteristics of the image in said region, - identifying (E4) at least one sign on said at least one image of said document from the calculated signatures, - said comparison step (E41) comprises: - a comparison of the signature calculated for said region with said reference signatures stored in said first storage device, - a matching of the calculated signature with a reference signature according to said comparison and to a geometric distortion model of the current document stored in a second storage device connected to said data processing device , in such a way as to identify said candidate sign region, - and said estimation step (E42) comprises: - an estimating of a new geometric distortion model of said document from said current geometric distortion model and said matching, - a storing in the second storage device of said new distortion model as a current distortion model. <EOS>