Online Palmprint Identification free download, Online Palmprint Identification download on software download

The system functions by projecting palmprint images onto a feature space that spans the significant variations among known images. The significant features are known as "eigenpalms" because they are the eigenvectors (principal components) of the set of palmprints. Palmprint images must be collected into sets: every set (called "class") should include a number of images for each person, with some variations in positions and in the lighting. When a new input image is read and added to the training database, the number of class is required. Otherwise, a new input image can be processed and confronted with all classes present in database. We choose a number of eigenvectors M' equal to the number of classes of(see algorithmic details in the cited references). Before start image processing first select input image. This image can be succesively added to database (training) or, if a database is already present, matched with known faces. Give Online Palmprint Identification a try to fully assess its capabilities!

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