Multiresolution Feature Based Subspace Analysis for Fingerprint Recognition

Dattatray, V. Jadhav; Pawan, K. Ajmera

doi:10.5120/291-455

Cited by 7 publications

(6 citation statements)

References 7 publications

(9 reference statements)

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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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“…The DWT [38] provides spatial and frequency characteristics of an image. It has an advantage over Fourier transform in terms of temporal resolution where it captures both frequency and location information.…”

Section: Dwt Algorithmmentioning

confidence: 99%

An Efficient Reconfigurable Architecture for Fingerprint Recognition

Bhairannawar¹,

Raja²,

Venugopal

2016

VLSI Design

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The fingerprint identification is an efficient biometric technique to authenticate human beings in real-time Big Data Analytics. In this paper, we propose an efficient Finite State Machine (FSM) based reconfigurable architecture for fingerprint recognition. The fingerprint image is resized, and Compound Linear Binary Pattern (CLBP) is applied on fingerprint, followed by histogram to obtain histogram CLBP features. Discrete Wavelet Transform (DWT) Level 2 features are obtained by the same methodology. The novel matching score of CLBP is computed using histogram CLBP features of test image and fingerprint images in the database. Similarly, the DWT matching score is computed using DWT features of test image and fingerprint images in the database. Further, the matching scores of CLBP and DWT are fused with arithmetic equation using improvement factor. The performance parameters such as TSR (Total Success Rate), FAR (False Acceptance Rate), and FRR (False Rejection Rate) are computed using fusion scores with correlation matching technique for FVC2004 DB3 Database. The proposed fusion based VLSI architecture is synthesized on Virtex xc5vlx30T-3 FPGA board using Finite State Machine resulting in optimized parameters.

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“…Parmak izi tanıma ile ilgili diğer yapılan çalışmalar incelendiğinde [11,27,28] özellik çıkarma yöntemi olarak GDD'nin parmak izi sınıflandırmasında yeterli bir yöntem olduğu tespit edilmiştir. GDD'nin en büyük avantajı görüntünün frekans bilgisinin yanında uzaysal bilgisinin de elde edilebilmesi ve frekans verisi bölgeselleştirilip işlemlerin bu bölge ile gerçekleştirilebilir olmasıdır.…”

Section: A Gabor Dalgacık Dönüşümüunclassified

Wavelet transform based fingerprint recognition

Çalışkan

Ertuğrul

2015

2015 23nd Signal Processing and Communications Applications Conference (SIU)

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Özetçe-Bir biyometrik sistem, bir bireyin sahip olduğu karakteristik veya eşsiz özniteliğe dayalı olarak otomatik tanımlamayı sağlar. Parmak izi, günümüzde birçok alanda geniş bir kullanım alanına sahip bir biyometrik sistemdir. Özellikle insan kimliğinin doğrulanması ve tespit edilmesinde kullanılan parmak izi, erişim için geleneksel olarak kullanılan yöntemlere göre daha güvenilirdir. Bu çalışmada, Gabor dalgacık dönüşümü tabanlı parmak izi tanıma sistemi gerçekleştirilmiştir. Gri seviye parmak izi imgelerinden dalgacık öznitelikleri çıkarılmıştır. Son olarak, parmak izi imgelerinin tanınmasında k en yakın komşuluk sınıflandırıcısı kullanılmıştır. Önerilen algoritma, PolyU yüksek çözünürlüklü parmak izi veri tabanı görüntüleri üzerinde test edilmiştir. Deneysel sonuçlar, önerilen yöntemin mevcut metotların doğruluğunu arttırabildiğini göstermiştir. Anahtar Kelimeler -biyometrik sistem, parmak izi tanıma, gabor dalgacık dönüşümü, k en yakın komşuluk.Abstract-A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Today, fingerprint has a wide field of use in several areas of biometric system. It is especially used in human identification and verification, which is more reliable than the traditional methods used for access. In this work, Gabor Wavelet Transform based fingerprint recognition system has been realized. The wavelet features are extracted from the gray-scale fingerprint image. Finally, the k nearest neighbor classifier is used for the recognition of fingerprint images. The proposed algorithm is tested on images from PolyU high resolution fingerprint database. Experimental results have shown that the proposed method can improve the accuracy of existing methods.

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Multiresolution Feature Based Subspace Analysis for Fingerprint Recognition

Cited by 7 publications

References 7 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

An Efficient Reconfigurable Architecture for Fingerprint Recognition

Wavelet transform based fingerprint recognition

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