Fingerprint Indexing and Classification For Biometric Database

This book includes a fingerprint indexing scheme at feature level fusion based on Minutiae Vicinity and Minutiae Cylindrical Code and the classifying them using the SVM and K-means classifier, proving which is more efficient, which will improve the efficiency in seeking a candidate reference list from large scale biometric data databases, where the personality related with the input data is dictated by contrasting it with each and every entry in the database. This coordinating procedure is tedious and conceivably increments, the rate of wrong identification, hence we propose a new fingerprint indexing approach which would improve the performance of the system.