Fingerprint Minutiae Post-processing Using Fuzzy Geometry and Texture Feature

Fingerprint recognition is usually based on minutiae matching.Reliable minutiae extraction is very difficult for poor fingerprint images and many false minutiae will be extracted.To improve the accuracy of minutiae‚a new minutiae post-processing method based on the analysis of initial grayscale fingerprint image is presented.The fuzzy geometry features and texture features were extracted from each minutia’s local neighborhoods.The verification of minutia’s type was realized by classifying these features with a MLP neural network.Experimental results show that the proposed method can filter out most false minutiae and is more accurate than other methods.