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A Non-invertible Cancelable Fingerprint Template Generation Based on Ridge Feature Transformation by Dwivedi, Rudresh; Dey, Somnath is a scholarly article available to read on EtoBox.

What is A Non-invertible Cancelable Fingerprint Template Generation Based on Ridge Feature Transformation about?

In a biometric verification system, leakage of biometric data leads to permanent identity loss since original biometric data is inherently linked to a user. Further, various types of attacks on a biometric system may reveal the original template and utility in other applications. To address these security and privacy concerns cancelable biometric has been introduced. Cancelable biometric constructs a protected template from the original biometric template using transformation functions and performs the comparison between templates in the transformed domain. Recent approaches towards cancelable fingerprint generation either rely on aligning minutiae points with respect to singular points (core/delta) or utilize the absolute coordinate positions of minutiae points. In this paper, we propose a novel non-invertible ridge feature transformation method to protect the original fingerprint template information. The proposed method partitions the fingerprint region into a number of sectors with reference to each minutia point employing a ridge-based co-ordinate system. The nearest neighbor minutiae in each sector are identified, and ridge-based features are computed. Further, a cancelable t

Author

Dwivedi, Rudresh; Dey, Somnath

Published

2018

Language

EN