Transform Domain Fingerprint Identification Based on DTCWT

George, Jossy P.; K, Abhilash S.; Raja, K B

doi:10.14569/ijacsa.2012.030130

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…The percentage values of TSR and EER of proposed method is compared with existing methods presented by Chaven et al [9], George et al [17], Jadhav and Ajmera [21] and Roja and Sawarkar [35]. It is observed that the value of TSR is high in the case of proposed method compared to existing methods (Table 6).…”

Section: Performance Comparison Of Proposed Technique With Existing Techniquesmentioning

confidence: 87%

Implementation of Fingerprint Based Biometric System Using Optimized 5/3 DWT Architecture and Modified CORDIC Based FFT

Bhairannawar

Sarkar

Raja

et al. 2017

Circuits Syst Signal Process

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The real-time biometric systems are used to authenticate persons for wide range of security applications. In this paper, we propose implementation of fingerprint-based biometric system using Optimized 5/3 DWT architecture and Modified CORDIC-based Fast Fourier Transform (FFT). The Optimized 2D-DWT architecture is designed using Optimized 1D-DWT architectures, Memory Units and novel Controller Unit which is used to scan rows and columns of an image. The database fingerprint image is applied to the proposed Optimized 2D-DWT architecture to obtain four sub-bands of LL, LH, HL and HH. The efficient architecture of FFT is designed by using Modified CORDIC processor which generates twiddle factor angles of range 0 • -360 • using Pre-processing Unit and Comparator Block. Further, the LL sub-band coefficients are applied to the Modified CORDIC based FFT to generate

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Section: Performance Comparison Of Proposed Technique With Existing Techniquesmentioning

confidence: 87%

Implementation of Fingerprint Based Biometric System Using Optimized 5/3 DWT Architecture and Modified CORDIC Based FFT

Bhairannawar

Sarkar

Raja

et al. 2017

Circuits Syst Signal Process

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“…Hardwarerelated systems utilize more equipment and readers to capture biometric measures other than fingerprints to detect liveness. Such systems used additional equipment to record biological signals such as fingertip temperature, electric resistance, blood pressure, odor, or heartbeat [5][6][7]. Nixon and Rowe proposed a multispectral reader in which several light wavelengths and multiple polarizations provide extra data not available from a traditional system.…”

Section: Introductionmentioning

confidence: 99%

A Novel Fingerprint Liveness Detection Method using Empirical Mode Decomposition and Neural Network

Tong,

2023

IJACSA

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One of the most common biometric systems is fingerprint identification, which has been misused due to issues such as fraud. Hence, intelligent methods should be designed and used to recognize real-live fingerprints. Therefore, in the current work, we proposed a novel liveness fingerprint detection framework with low computational cost and excellent accuracy based on empirical mode decomposition and neural network to distinguish real from fake fingerprints. Our proposed scheme works based on empirical mode decomposition technique. The fingerprint images were cropped into 200 × 200 images and then the two-dimensional (2D) images were converted into onedimensional (1D) data, greatly reducing the computational process. The empirical mode decomposition (EMD) technique decomposed the data and the first five intrinsic mode functions (IMFs) were targeted for feature extraction through simple statistical features. The findings revealed that our suggested system can yield an average accuracy of 97.72% in distinguishing fake from real fingerprints through multilayer perceptron (MLP) neural network. This framework is very efficient compared to other techniques because only one piece of fingerprint image is enough to defend against spoof attacks. Therefore, such framework can reduce the cost of the fingerprint biometric systems, as no further hardware is needed. In addition, our framework method gives the best classification results in comparison to other previous techniques in real-live fingerprint recognition while being simple with lower computational cost. Therefore, this framework can be practically used in commercial biometric systems.

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FPGA Implementation of Fingerprint Recognition System using Adaptive Threshold Technique

Bhairannawar¹,

R²,

Raja³

et al. 2015

2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)

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Transform Domain Fingerprint Identification Based on DTCWT

Cited by 4 publications

References 17 publications

Implementation of Fingerprint Based Biometric System Using Optimized 5/3 DWT Architecture and Modified CORDIC Based FFT

Implementation of Fingerprint Based Biometric System Using Optimized 5/3 DWT Architecture and Modified CORDIC Based FFT

A Novel Fingerprint Liveness Detection Method using Empirical Mode Decomposition and Neural Network

FPGA Implementation of Fingerprint Recognition System using Adaptive Threshold Technique

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