A Two-Dimensional Infinite-to-One Transform for Generating Alignment-Free Cancelable Fingerprint Template

Abstract

Invasion of user's privacy due to compromised biometric template draws great public concern recently. Cancelable biometric is proposed as a promising resolution by converting the original biometric template into a distorted version via a transformation function. However, certain schemes such as Densely Infinite-to-one mapping (DITOM) are merely applicable to fixed-length and ordered biometric features. This limits their application capacity on unordered and variable size features such as fingerprint minutia or descriptors. In this paper, we proposed an extended form of infinite-to-one transform that is capable to operate the two-dimensional feature vectors to generate a cancelable fingerprint template. The proposed method was evaluated using four public databases, i.e. FVC2002 DB1, DB2, DB3 and DB4. Experimental results demonstrate satisfactory accuracy performance. Besides, the changeability and non-invertibility are also justified.