Abstract: Movement of a living object is measured by a movement sensor carried by one living object at a time for forming one measurement signal per one living object. The measurement signal is compared with a predetermined reference signal which may be measured from a known living object in a similar way. A recognition operation is performed based on the comparison between the measurement signal and the predetermined reference signal, the recognition operation resulting in recognition or non-recognition.

Abstract: The invention relates to an automatic fingerprint identification method. In the method according to the invention, identification is executed in three phases. In coarse alignment (32), fingerprints are compared using a few reference points. In fine alignment (33), coincidence of fingerprint minutiae are used to find the best fingerprint matching transformation. In the matching phase (34), individual minutiae of the fingerprint examined are matched against a known template. Parameters are computed from the matching minutiae and used in making the final identification.

Abstract: Movement of a living object is measured by a movement sensor carried by one living object at a time for forming one measurement signal per one living object. The measurement signal is compared with a predetermined reference signal which may be measured from a known living object in a similar way. A recognition operation is performed based on the comparison between the measurement signal and the predetermined reference signal, the recognition operation resulting in recognition or non-recognition.

Abstract: The invention relates to an automatic fingerprint identification method. In the method according to the invention, identification is executed in three phases. In coarse alignment (32), fingerprints are compared using a few reference points. In fine alignment (33), coincidence of fingerprint minutiae are used to find the best fingerprint matching transformation. In the matching phase (34), individual minutiae of the fingerprint examined and a known template are matched against one another, and parameters are computed from matching minutiae, which parameters are used in making the final identification.

Abstract: A method for determining the properties of a log, in which a moving log is radiographed by at least more than one X-radiation source, and the radiographic information is received by a detector array measuring radiation. Stemwood and knots of the log are calculated by a principle which is based on a known geometry and density of stemwood and knots. After measurement, the effect of stemwood in radiographic projections, and hence the analysis for locating knots, is eliminated by filtering. The knot mass is then converted from radiographic projections into volumetric elements of a cylindrical coordinate system and, from the value of each volumetric element, an evidence value representative of the presence of a knot in the element is derived. The evidence values of mutually associated elements are then combined, thus producing an aggregate evidence value which permits the knots to be located.