Fingerprint Quality Assessment based on Texture and Geometric Features

Fingerprint quality assessments are generally used to evaluate the quality of images obtained from fingerprint sensors, and effective fingerprint quality assessment methods are crucial to establishing high-performance biometric identification systems. The use of fingerprint quality assessments helps improve the accuracy of fingerprint registration and user satisfaction. NIST Fingerprint Image Quality (NFIQ) is a popular fingerprint quality assessment algorithm; however, it is unable to provide high-quality assessments for some partial fingerprint images obtained from mobile device sensors. In this study, a hybrid fingerprint assessment framework that integrated texture and geometric features was examined. The final quality assessment values obtained by the framework were higher than those obtained using NFIQ, effectively elevating the performance of existing NFIQ algorithms and expanding its scope of application for different fingerprint images.

Card Fraud Reduction Technology in Biometric Fingerprint Security Using Data Mining Algorithms

In the banking sector, biometric authentication is a new trend of technology for avoiding card fraud in the card payment system. A major part of the failure of the partial fingerprint happens to internet banking, mobile banking, e-commerce, Point of scale, and ATM. The partial fingerprint or incomplete fingerprint is a poor quality of ridges in minutiae, noise, and absence of minutiae features. To overcome this problem, many researchers are investigated and find the solution to partial fingerprint techniques like enrollment process, verification, identification and classification of existing algorithms. In the acquisition, process sensors capture the fingerprint image using an optical scanner. A fingerprint-based biometric system is largely a pattern popularity device that allows s someone through the authenticity of the fingerprint-based on biometric verification and identity system. The verification system Acquisition process of fingerprint image can be Compared to database image verify the person is authorized or not. The identification process recognizes the person by one-to-many verification. this paper detailed study of the partial fingerprint techniques time complexity of the Data Mining Algorithms.