Combining Gabor Local Texture Pattern and Wavelet Global Features for Fingerprint Matching

Samuel, C.C.; Saravanan, V.; Devi, M. Ramya

doi:10.1109/iccima.2007.277

Cited by 15 publications

(5 citation statements)

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“…Among different kind of biometric identifiers, handbased biometrics has been fascinated the attention over contemporary years. Likewise fingerprint [2][3][4][5][6] palm print [7][8][9] hand geometry, hand vein [10] inner knuckle print [9,11] has been investigated in this topic. In massive of last few years human finger knuckle print (FKP) and EAR recognition is becoming an interesting scenario in biometric authentication.…”

Section: Introductionmentioning

confidence: 99%

Retracted: Innovative approach for multimodal fusion recognition based feature extraction using band‐limited phase‐only correlation and discrete orthonormal Stockwell transform

Kavipriya

Muthukumar

2020

IET Image Processing

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Biometrics is the bureau of science that helps to measure the individual's features by utilising their behavioural and physiological characteristics. Since years ago biometric technology are contemplated to be a unique tool for other security purposes. Inauspicious biometrics, Ear recognition, and Finger Knuckle Print have been enchanted as a booming analysis with interests among several researchers in modern periods. It has an ample range of private and other law enforcement applications. A combination of multiple human attributes is authenticated and considered to be a competent strategy in case of a multimodal Personal authentication system. In this paper extracting the local and global features via the structure of the timefrequency domain has been studied. This proposed scheme exploits the analysis of dual biometric modalities i.e. Ear and Finger Knuckle Print which are carried out at the stage of feature-level fusion. The feature Extraction two biometric patterns are obtained by generating the Local and Global feature information that helps in refining the alignment of dual biometric images in matching i.e. Discrete Orth normal Stockwell Transform-Ear recognition and Band Limited phase-only correlation with Finger Knuckle Print. Experiment results conducted with these FKP and EAR are demonstrated in improving recognition of efficient accuracy.

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Section: Introductionmentioning

confidence: 99%

Retracted: Innovative approach for multimodal fusion recognition based feature extraction using band‐limited phase‐only correlation and discrete orthonormal Stockwell transform

Kavipriya

Muthukumar

2020

IET Image Processing

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“…Tapadar,Suneeta Agarwal, proposed a hybrid fingerprint verification system which is based on local texture pattern obtained by gabor filtering and wavelet global features extracted by multi resolution analysis of a fingerprint. The hybrid system is efficient and suitable for real-time authentication application with a small size database [5]. Chih-Jen Lee used Gabor transform, sampling by a complete set of Gabor basis functions.. By using this approach, memory space is reduced and processing time is also speeded up [6].…”

Section: Shanker Bhausaheb Nikam Pulkit Goel Rudrajitmentioning

confidence: 99%

Fingerprint Authentication System using Log-Gabor Filter

Vandana¹,

Aggrawal²

2016

IJCA

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Biometric authentication using fingerprint is one of the unique, prominent and reliable method of verification processes. The paper presents different techniques used in fingerprint authentication system. Log-Gabor filter algorithm is used to extract the features of fingerprints. Then, these features are compared for identification and recognition of a person. To evaluate the accuracy, Two test cases are used. Three distance metric is used: Spearman, Euclidean and Cosine in which Euclidean distance is performing better with Log-Gabor Filter. Using Log-Gabor filter based matching algorithm, Accuracy on 100 % training 95% and accuracy on exclusive training 40 % is achieved in case of Euclidean Distance Metric.

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“…Global features in the face images are extracted by keeping the low-frequency Fourier coefficients, and the local information is extracted using Gabor filters. The local and global information combination was also utilized in the fingerprint biometrics system [25].…”

Section: Journal Of Applied Mathematicsmentioning

confidence: 99%

Palmprint Authentication System Based on Local and Global Feature Fusion Using DOST

Kumar¹,

Premalatha²

2014

Journal of Applied Mathematics

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Palmprint is the region between wrist and fingers. In this paper, a palmprint personal identification system is proposed based on the local and global information fusion. The local and global information is critical for the image observation based on the results of the relationship between physical stimuli and perceptions. The local features of the enhanced palmprint are extracted using discrete orthonormal Stockwell transform. The global feature is obtained by reducing the scale of discrete orthonormal Stockwell transform to infinity. The local and global matching distances of the two palmprint images are fused to get the final matching distance of the proposed scheme. The results show that the fusion of local and global features outperforms the existing works on the available three datasets.

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Combining Gabor Local Texture Pattern and Wavelet Global Features for Fingerprint Matching

Cited by 15 publications

References 1 publication

Retracted: Innovative approach for multimodal fusion recognition based feature extraction using band‐limited phase‐only correlation and discrete orthonormal Stockwell transform

Retracted: Innovative approach for multimodal fusion recognition based feature extraction using band‐limited phase‐only correlation and discrete orthonormal Stockwell transform

Fingerprint Authentication System using Log-Gabor Filter

Palmprint Authentication System Based on Local and Global Feature Fusion Using DOST

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