Based On The Minutiae Of The Automated Fingerprint Identification System

In recent years, there is a great progress in fingerprint identificationtechnology, but it still is a hot topic at present, which is focused on how toimprove the accuracy and recognition speed of the automatic fingerprintidentification system. Therefore, it's very important to research the automaticfingerprint identification technology both in theory and in application.In the automatic fingerprint identification system, the fingerprintmatching relies on the quality of the features heavily. When the quality of thefeatures is very well, all the algorithms can get a good result. In addition,fingerprint feature extraction process is the most time-consuming in theautomatic fingerprint identification system. So the fingerprint featureextraction is the current and future key problem in fingerprint identificationtechnology. By analysis of the fingerprint feature extraction process whichincludes the fingerprint image segmentation, computing ridge direction,computing ridge period, image enhancement, minutiae extraction and detailsof the matching, some new views are proposed, which mainly include:improving orientation extraction algorithm based on the gradient, based onthe integration of the fingerprint image segmentation algorithm, based on theone-dimensional Fourier Transform ridge period computing algorithm, a newway of Gabor filter function designed which improves the adaptive capacityof the filter. In the minutiae extraction process, based on the direction andridge waveform values of the binary method is designed, a new featuredetails filtering algorithm is introduced which can retrench the resuming timeof eliminating burr and improve the reliability of the details. In thefingerprint matching process, A statistic model is proposed, which cancompute the move-rotation parameters not from the local of fingerprint butfrom the whole fingerprint, overcome the shortcomings of the presentminutiae-matching method. Analysis and some experiments show that thesenew algorithms overcome some shortcomings of present algorithms, improve the performance of the Automatic Fingerprint Identification System. Thematching algorithm based on the statistical enhances the robustness, reducesthe error probability of rejection.