This repository provides official implementation of the following paper:

Max-min threshold-based cancelable biometric templates for low-end devices
Gourav Siddhad and Pritee Khanna

Abstract: Biometrics are widely used in security systems, but it has drawbacks such as its nonreusability, being susceptible to getting stolen, and being prone to unauthorized access. These issues can be tackled using cancelable biometrics. In this work, features extracted using Log-Gabor filters are processed according to the proposed max-min thresholding. The resulting binary features are transformed by random projection on a key matrix to create a cancelable template. The method was carefully evaluated using publicly accessible datasets of face near-infrared, palm print, palm vein, dorsal vein, wrist vein, and knuckle print. A significant improvement in performance over many recent methods was observed. Also, the effectiveness of the generated cancelable templates was observed in the general, stolen token, and changeable scenarios. The generated template is 25% of the original input size, which makes it efficient for low-end devices.

DOI: https://doi.org/10.1117/1.JEI.31.3.033025

If you find this work helpful, please cite our paper:

Gourav Siddhad and Pritee Khanna "Max-min threshold-based cancelable biometric templates for low-end devices," Journal of Electronic Imaging 31(3), 033025 (30 May 2022). DOI: 10.1117/1.JEI.31.3.033025

@article{siddhad2022mmled,
	title        = {{Max-min threshold-based cancelable biometric templates for low-end devices}},
	author       = {Gourav Siddhad and Pritee Khanna},
	year         = 2022,
	journal      = {Journal of Electronic Imaging},
	publisher    = {SPIE},
	volume       = 31,
	number       = 3,
	pages        = {1 -- 13},
	doi          = {10.1117/1.JEI.31.3.033025},
	url          = {https://doi.org/10.1117/1.JEI.31.3.033025},
}