作者: Roli Bansal , Priti Sehgal , Punam Bedi
关键词: Biometrics 、 Image quality 、 Fingerprint (computing) 、 Minutiae 、 Computer science 、 Digital watermarking 、 Computer vision 、 Artificial intelligence 、 Discrete cosine transform 、 Orientation (computer vision) 、 Watermark
摘要: Presented is an efficient watermarking scheme using Particle Swarm Optimization PSO to watermark host fingerprint images with their corresponding facial in the Discrete Cosine Transform DCT domain. used find best coefficients' locations image where data can be embedded, so that distortion produced minimum. The objective function for formulated terms of Structural Similarity Index SSIM and Orientation Certainty Level OCL as base it on simple visual effect human perception capability correct minutia prediction ability. results exhibit better watermarked quality while retaining feature set original fingerprint. Moreover, proposed technique robust extraction possible even after exposed attacks. As a result, at receiver's end, extracted verified secure accurate biometric based personal authentication.