Abstract

The major contributing factor to biometric technological advancements is fingerprints. Biometric authentication technology works completely for worker time management combined with the ability to acknowledge distinctive behavioral features. The growing popularity for period and enrollment of biometrics based platforms provides several advantages. These terminals can not only display fingerprints, but also some are intended to display the distinctive speech style, finger pattern, head form, or iris of a person. Image processing methods were the finest option for human administration to define fingerprint images. This article provides a study of present image processing research by reviewing methods used to distinguish fingerprints and computer training models used to classify fingerprints. The papers primary objective is to demonstrate the present suggested feature extraction duties for image processing and fingerprint identification computer training methods. This evaluation document will be essential to other fingerprint identification scientists operating in the field of image processing Nilar Htwe | Thet Naing Htwe "Image Processing Techniques for Fingerprint Identification and Classification A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26761.pdfPaper URL: https://www.ijtsrd.com/computer-science/multimedia/26761/image-processing-techniques-for-fingerprint-identification-and-classification-%E2%80%93-a-review/nilar-htwe

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