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Curvelet transform-based features extraction for fingerprint identification
2012
Biometrics and Electronic Signatures
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Thus,o ur paperf ocuses on presenting of our Curvelet-based fingerprint features extractionm ethod. ...
This method consists of twos teps:d ecomposet he fingerprinti ntos et of sub-bandsb yt he Curvelet transforma nd automatic extractiono ft he most discriminative statistical features of theses ub-bands.A ...
by Curvelet transform. ...
dblp:conf/biosig/GuesmiTAS12
fatcat:b6wbrrjrcbcphet6t7a5egp3cu
The Use of Two Transform Methods in Fingerprints Recognition
2012
Journal of university of Anbar for pure science
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the feature extraction from the images. ...
The second stage is implemented by taking several samples of new fingerprint images for testing the work. ...
using Discrete Cosine Transform and Curvelet Transform(FDCvT via Wrapping).One applies the steps of the proposed technique on these fingerprint image for purpose the extraction of features vector (Mean ...
doi:10.37652/juaps.2012.63367
fatcat:b2uf7o2q5nc4nlyy5gz4lapruu
Digital camera identification based on curvelet transform
2009
2009 IEEE International Conference on Acoustics, Speech and Signal Processing
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Currently the proposed camera identification methods use wavelet-based denoising filter to extract the sensor noise feature. ...
In order to overcome some inherent limitations of wavelet transform, we use curvelet-based denoising filter to obtain the camera fingerprint. ...
Identification based on Curvelet Transform In method [3] , Lukáš et al. use wavelet-based method to identify the source digital camera fingerprint. ...
doi:10.1109/icassp.2009.4959852
dblp:conf/icassp/ZhangZ09a
fatcat:gi47slgsuzcqjdgbb3byfw2ybe
Neural Network Based Human Age-group Estimation in Curvelet Domain
2015
Procedia Computer Science
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Motivated by the fact that human digital fingerprint vary in width ranging from birth to adulthood but pattern remains the same, we have developed a procedure to extract discriminating features using Curvelet ...
Transform to classify fingerprints into three age groups. ...
Authors would like to extend their thanks to principals of VBPS, Kendriya Vidyalaya and MVM inter college for allowing volunteers to collect fingerprints images from their wards. ...
doi:10.1016/j.procs.2015.06.092
fatcat:ljgwbiaz4bbgti2k323ziutpdi
Fingerprint Image Enhancement based on Threshold Fast Discrete Curvelet Transform (FDCT) and Gabor Filters
2015
International Journal of Computer Applications
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The most important stages of Automatic Fingerprint Identification System (AFIS) are enhancement stage, features extraction stage, and matching stage. ...
The main purpose of the enhancement stage is to increase the clarity of the fingerprint image, convert poor quality image to good quality image, and prepare the image for features extraction stage. ...
The fingerprint recognition system depends on the extracted features from fingerprint image. ...
doi:10.5120/19299-0746
fatcat:7vlhqiksf5hddp65626u23myny
Fingerprint Classification Combining Curvelet Transform and Gray-Level Cooccurrence Matrix
2014
Mathematical Problems in Engineering
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Fingerprint classification is an important indexing scheme to reduce fingerprint matching time for a large database for efficient large-scale identification. ...
The abilities of Curvelet transform capturing directional edges of fingerprint images make the fingerprint suitable to be classified for higher classification accuracy. ...
Acknowledgments The authors are grateful for the anonymous reviewers who made constructive comments. ...
doi:10.1155/2014/592928
fatcat:vpcw7aeehzeybg5oyckynfadai
Iris Recognition Using Curve let Transformation Based on Gabor Filter& SVM
2016
International Journal Of Engineering And Computer Science
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The extracted iris region was then normalized into a rectangular block with constant dimensions to account for imaging inconsistencies. ...
For determining the recognition performance of the system two databases of digitized greyscale eye images were used. ...
The method of identification based on biometric characteristics is preferred over traditional passwords and PIN based methods for various reasons such as: The person to be identified is required to be ...
doi:10.18535/ijecs/v5i8.32
fatcat:zgdiczcgwjah5nwanwaan5l4ki
Experimental Results on Fingerprint Liveness Detection
[chapter]
2012
Lecture Notes in Computer Science
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Fingerprint liveness detection is aimed to detect if a fingerprint image, sensed by an electronic device, belongs to an alive fingertip or to be an artificial replica of it. ...
In this paper, we present some recent experimental results on several state-of-the-art fingerprint liveness detection algorithms on the datasets available at Second International Fingerprint Liveness Detection ...
The authors also thank Zahid Akthar and Valerio Mura for collecting part of the LivDet 2011 data sets. ...
doi:10.1007/978-3-642-31567-1_21
fatcat:c5odysixjngrzeiwr5dww3bgry
Retina Recognition Using Support Vector Machine
2016
International Journal Of Engineering And Computer Science
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This paper presents an efficient algorithm for iris recognition using support vector machine, and genetic and evolutionary feature extraction techniques. ...
The MLBP algorithm combines the sign and magnitude features for the improvement of iris texture classification performance. ...
The method of identification based on biometric characteristics is preferred over traditional passwords and PIN based methods for various reasons such as: The person to be identified is required to be ...
doi:10.18535/ijecs/v5i8.31
fatcat:nrwkaprnpndspo2yimjzau32hu
WAVELET BASED FINGERPRINT AUTHENTICATION SYSTEM: A REVIEW
2016
Electrical and Electronics Engineering An International Journal
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Traditional fingerprint identification algorithm based on Minutiae Extraction, Discrete cosine transform(DCT) and fast Fourier transform require so much computation. ...
Wavelet based algorithm do not require any preprocessing and post processing steps and hence is the key for low cost fingerprint identification system. ...
Feature vector set from image was extracted using Curvelet transformation in different scale and orientation. ...
doi:10.14810/elelij.2016.5105
fatcat:ngmj2l3ovnfb3i7v4dn24ajgye
Fingerprint Orientation Map Based on Wave Atoms Transform
2013
Journal of Image and Graphics
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In this paper, A novel fingerprint orientation map estimation based on Wave atoms transform is proposed. ...
This paper aims to open a new gateway by proposing a different approach for analyzing fingerprints and try to unify steps of automatic fingerprint identification system( AFIS): classification, compression ...
The most practical approach adopted by the fingerprint identification is based on the extraction and matching minutiae. ...
doi:10.12720/joig.1.3.129-133
fatcat:jlsvmci4yjbvhoxibifpxaavw4
Face Recognition Using Curvelet Transform
[chapter]
2010
Lecture Notes in Computer Science
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Due to these attractive attributes of curvelets, we introduce this idea for feature extraction by applying the curvelet transform of face images twice. ...
High accuracy rate of 97% and 100% achieved by the proposed method for two well-known databases indicates the potential of this curvelet based curvelet feature extraction method. ...
Curvelet based feature extraction Curvelet transform has been developed especially to represent objects with 'curve-punctuated smoothness' i.e. objects which display smoothness except for discontinuity ...
doi:10.1007/978-3-642-13022-9_39
fatcat:bn2kbcesvvc2jjsqe7aqnb7zw4
Wave atoms based compression method for fingerprint images
2013
Pattern Recognition
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A new image quality metric based on the same transform that has been used for compression is proposed to control the compression performance. ...
A comparative study of different transforms shows that Wave atom transform is the more appropriate than Wavelets for fingerprint image compression since it is able to better represent the geometrical structures ...
Fingerprint identification or authentication is often based on features extraction from local structures. An image quality is then of great importance for this purpose. ...
doi:10.1016/j.patcog.2013.02.004
fatcat:yo3754cvh5ghhmfjz3yaohwj6y
A Robust Face Recognition System Based on Curvelet and Fractal Dimension Transforms
2015
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing
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A novel feature extraction method based on combining the characteristics of the Curvelet transform and Fractal dimension transform is proposed. The proposed system consists of four stages. ...
After that, the feature extraction stage using a combination of the Digital Curvelet via wrapping transform and a Fractal Dimension transform is implemented. ...
In the feature extraction stage, an efficient and robust feature extraction approach is proposed based on integrating the advantages of the Curvelet transform with the Fractal dimension transform. ...
doi:10.1109/cit/iucc/dasc/picom.2015.78
dblp:conf/IEEEcit/Al-WaisyQIA15
fatcat:ibgjoql25rhkvgnueryjr5xzbi
Off-Line Handwritten Signature Retrieval using Curvelet Transforms
[article]
2011
arXiv
pre-print
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In this paper, a new method for offline handwritten signature retrieval is based on curvelet transform is proposed. ...
The proposed system uses a curvelet based texture features extraction. The performance of the system has been tested with an image database of 180 signatures. ...
The proposed approach used curvelet features for extracting details and Canberra distance for comparing features.
Recall Fig. 1 . 1 Impulse response of 0 0 , 90 0 and ± 45 0 of DWT B. ...
arXiv:1104.1945v1
fatcat:yfaxxnbqf5hhfiwwx7l4s2vqnm
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