Protecting Biometric Templates Using LBP-Based Authentication Watermarking

Li, Chunlei; Wang, YunHong; Ma, Bin

doi:10.1109/ccpr.2009.5344012

Cited by 3 publications

(1 citation statement)

References 6 publications

(9 reference statements)

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“…Patterns available in the hand veins are found to be distinctive between the individuals and remain same for long term throughout the human life. From the literature survey, [2], [3], [4], [5], [6] the researchers had discussed about various template security method and their importance in security of biometric template protection. Also, we found that there is need of robust biometric recognition technique for template protection.…”

Section: Introductionmentioning

confidence: 99%

Improvisation of Template Protection in Iris Biometric Recognition Using Watermarking Technology

Sambasivarao¹,

Priya²

2017

IOSR JECE

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Biometric recognition is noteworthy method for recognition of person in recent years. The aim of our biometric recognition system is to improve the template protection by embedding the iris data to hand vein images based on watermarking technology. In order to handle this issue, researches have proposed different algorithms to be confronted by security of biometric systems. Two major ways are, (1) Encryption, and (2) watermarking by securing biometric images and templates. In this project, we utilize a watermarking technology to improve the template security in biometric authentication. According to, two modalities such as, iris and hand vein is taken to preserve the characteristics of liveliness and permanency. The existing technique of embedding of iris data to hand vein images using watermarking technology consist of following steps, i) preprocessing of iris and hand vein images, ii) iris template extraction, iii) Vein extraction, iv) Embedding of iris pattern to vein images based on region of interest, v) Storing embedded images. After this the extracted iris template was embedded in to the hand vein and stored in the database. Subsequently in recognition phase the iris template and hand vein features were extracted from the watermarked image. Finally the extracted features were matched with input query image. The proposed method can be further improving the Accuracy by considering the embedding the iris data to fingerprint images using watermarking technology for template protection.

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Section: Introductionmentioning

confidence: 99%