Abstract: Validation of using a finger as support of a fingerprint may include: placing the support such that it bears; capturing a captured image of the print; transforming the captured image into a resulting image by passage through a low-pass filter; locating on the resulting image an origin point, the intensity of whose pixel is representative of the maximum pressure exerted on the support; verifying that, on the resulting image, for a plurality of radii issuing from the origin point, and for each of said radii, for a plurality of points M, the intensity of the pixel of each point M of said radius is representative of a decline in the pressure exerted on the support as the distance from the origin point to the point M increases, and a decision as regards the validity of the support is taken as a function of the results of the verification step.

Abstract: Detecting a true face includes: capturing a parallel image of a face captured by a camera having a filter polarizing parallel to a polarization direction and an orthogonal image of the face captured by a camera's filter polarizing orthogonally to the polarization direction; computing a difference image from difference between the parallel and orthogonal images; filtering the difference image in wavelet packets on 5 levels, eliminating “low” resolution levels; dividing the filtered image into sub-images; the filtered image and each sub-image undergoes: a Fourier or discreet cosine transformation; and modelling during which the frequency decrease profile is modelled by a model of the power type (a.

Abstract: Detecting a true face includes: capturing a parallel image of a face captured by a camera having a filter polarising parallel to a polarisation direction and an orthogonal image of the face captured by a camera's filter polarising orthogonally to the polarisation direction; computing a difference image from difference between the parallel and orthogonal images; filtering the difference image in wavelet packets on 5 levels, eliminating “low” resolution levels; dividing the filtered image into sub-images; the filtered image and each sub-image undergoes: a Fourier or discreet cosine transformation; and modelling during which the frequency decrease profile is modelled by a model of the power type (a.

Abstract: A method for following an object in a sequence of at least two images, termed previous and current, comprises a step of forming a first set Ep of points E p={Pp(1), . . . , Pp(i), . . . , Pp(N)} by extracting N characteristic points Pp(i) of the object present in the previous image and of forming a second set Ec of points Ec={Pc(1), . . . , Pc(i), . . . , Pc(M)} by extracting M characteristic points Pc(j) of the object present in the current image. The method further comprises a step of estimating the parameters of a model of movement of the object between the two images on the basis of pairs of matched points thus formed, and a step of selecting the pairs of matched points used to estimate the parameters of the movement model. The pairs of matched points may be selected solely from among those which are related to points of the first set of points which are singular.

Abstract: The present invention relates to a method for following an object in a sequence of at least two images termed previous and current. The said method comprises a step for forming a first set Ep of points Ep={Pp(1), . . . , Pp(i), . . . , Pp(N)} by extracting N characteristic points Pp(i) of the object present in the previous image and for forming a second set Ec of points Ec={Pc(1), . . . , Pc(i), . . . , Pc(M)} by extracting M characteristic points Pc(j) of the object present in the current image, a step for estimating the parameters of a model of movement of the object between the two images on the basis of pairs of matched points thus formed, and a step of selecting the pairs of matched points used to estimate the parameters of the movement model, in the course of which said pairs of matched points are selected solely from among those which are related to points of the first set of points which are singular, each point of the first set of points being a singular point.