Protecting digital fingerprint in Automated Fingerprint Identification System using Local Binary Pattern operator

Abstract

The Local binary pattern (LBP) operators, which measure the local contrast within a pixel's neighbourhood, have been successfully applied to texture analysis, face recognition, and image retrieval. In the paper, we present a new application of the LBP operators for securing digital fingerprint in AFIS System (Automated Fingerprint Identification System), while inserting a robust watermark (ID image and Face image) to increase not only security but also to facilitate the recognition of the person. To improve the security of the embedding, the watermarks are scrambled using Arnold technique and are then hidden in the fingerprint image of the corresponding person. Experimental results show that the proposed watermarking method is robust against commonly-used image processing operations, such as additive noise, luminance change, contrast enhancement, and JPEG compression while does not change the fingerprint features and maintains a good visibility of the original fingerprint images.