Patent ID: 9530042
Filing Date: 2016-12-27
CPC Classification: G06F,G06K

Claim Text:
1. A method for fingerprint classification, comprising the steps of: scanning a fingerprint to generate a fingerprint image, FP, having a horizontal resolution of M pixels and a vertical resolution of N pixels; generating a set of responses for each (i,j)-th pixel of the fingerprint image FP, G for k=1, . . . , 8, and G x and G y are, respectively, horizontal and vertical Gaussian derivative filters respectively given by where σ is a parameter representative of width of a Gaussian function; thresholding each response G generating a local gradient directional binary pattern code by forming a binary number from the values of s generating a local gradient directional binary pattern code for each (i,j)-th pixel; computing a distribution of the local gradient directional binary pattern codes for all said pixels in the fingerprint image FP as a histogram and forms descriptor; and using the histogram and forms descriptor and a neural network to reduce substantially a search space to a predefined number of classes of fingerprints to be searched in order to identify the scanned fingerprint.