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Design of Biometric Fingerprint Image Enhancement Algorithm by using Iterative Fast Fourier Transform

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TLDR
In this paper, the authors have designed and implemented an algorithm of fingerprint image enhancement by using Iterative Fast Fourier Transform (IFFT) for removing the false minutia generated during the fingerprint processing.
Abstract
Among all the minutia based fingerprint identification system, the performance depends on the quality of input fingerprint images. In this paper, we have designed and implemented an algorithm of fingerprint image enhancement by using Iterative Fast Fourier Transform (IFFT). We have designed an approach for removing the false minutia generated during the fingerprint processing and a method to reduce the false minutia to increase the efficacy of identification system. We have used fingerprint Verification Competition 2006 (FVC 2006) as a database for implementation of proposed algorithm. Experimental results show that the results of our enhancement algorithm are better than existing algorithm of fast Fourier transform.

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Citations
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Journal ArticleDOI

Truth Machine: The Contentious History of DNA Fingerprinting

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Design of Carry Select Adder using Binary to Excess-3 Converter in VHDL

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Cryptography and Steganography: for Data Hiding

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References
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Journal ArticleDOI

Fingerprint image enhancement: algorithm and performance evaluation

TL;DR: A fast fingerprint enhancement algorithm is presented, which can adaptively improve the clarity of ridge and valley structures of input fingerprint images based on the estimated local ridge orientation and frequency.
Journal ArticleDOI

Systematic methods for the computation of the directional fields and singular points of fingerprints

TL;DR: A very efficient algorithm is proposed that extracts singular points from the high-resolution directional field of fingerprints and provides a consistent binary decision that is not based on postprocessing steps like applying a threshold on a continuous resemblance measure for singular points.
Journal ArticleDOI

DCT-Based Iris Recognition

TL;DR: A new worst-case metric is proposed for predicting practical system performance in the absence of matching failures, and the worst case theoretical equal error rate (EER) is predicted to be as low as 2.59 times 10-1 available data sets.
Proceedings ArticleDOI

Cancelable biometric filters for face recognition

TL;DR: This paper proposes a novel scheme that encrypts the training images used to synthesize the single minimum average correlation energy filter for biometric authentication, and shows analytically that the recognition performance remains invariant to the proposed encryption scheme, while retaining the desired shift-invariance property of correlation filters.
Journal ArticleDOI

Human Identification in Information Systems

TL;DR: Proposes that much greater use be made of schemes which are designed to afford people anonymity, or which enable them to use multiple identities or pseudonyms, while at the same time protecting the organization′s own interest.
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