METHOD FOR DETECTING THE BRIGHTNESS OF FINGERPRINTS USING CONVOLUTIONAL NETWORKS

摘要

The present invention relates to a method for detecting the brightness of fingerprints using the feature-extraction technique known as convolutional networks and artificially increasing the data set in order to improve the accuracy of the classification system. Dimensionality reduction is also applied using principal component analysis (PCA) with whitening and a support vector machine (SVM) classifier with Gaussian kernel, used to determine whether the samples are true or false. Pre-processing operations such as frequency filtering, region-of-interest (ROI) extraction and contrast equalization can be used to improve accuracy.