METHOD OF CLASSIFYING FINGERPRINT PICTURES DURING PERSONAL AUTHENTICATION Russian patent published in 2013 - IPC G06K9/62 G06K9/50 

FIELD: information technology.

SUBSTANCE: during training, a random number N with length of n bits is obtained; n artificial neurons are created; neuron inputs are randomly connected to memory cells with data on inclination of dermal ridges of fragments of examples of the classified fingerprint picture; further, the neurons are trained to output a random number N when presenting examples of the classified picture; the random number N is the hashed and the reference hash value is stored, as well as the connection of the neural network and its training parameters; and during authentication, there is repeated breaking up of the scanned picture into fragments, calculation of the average inclination on the fragment and the calculated value is transmitted to inputs of the neural network; the hash result is calculated at the output of the neural network and then compared with the reference value; in case of a match, personal authentication is continued, otherwise the authentication procedure is stopped once the time allocated for an authentication session runs out.

EFFECT: safeguarding the finger print picture and its biometric parameters which are used during biometric authentication, and providing conditions wherein it is impossible to find the owner of biometric parameters from biometric authentication data, while also cutting the average time of loading the authentication server.

2 cl, 3 dwg