Abstract
Rotation and noise invariant feature extraction is a challenge in palmprint recognition. This work presents a novel RDF descriptor based on Radon, Dual tree complex wavelet, and Fourier transforms. Combined properties of these transforms help to explore efficiency and robustness of RDF descriptor for palmprint identification. Radon transform can capture directional features of the palmprint and is robust to additive white Gaussian noise also. It converts rotation into translation. 1D Dual tree complex wavelet transform (DTCWT) applied on Radon coefficients in angle direction removes translation in Radon coefficients due to palmprint rotation. The magnitude of 2D Fourier transform performed on resultant coefficients helps to extract rotation and illumination invariant features. The performance of the proposed RDF descriptor is evaluated on noisy and rotated palmprints upto 10∘. Trained with normal palmprints only, the proposed system gives good results for rotated and noisy palmprints. Experiments are performed on PolyU 2D, CASIA, and IIITDMJ databases. Theoretical foundations and experimental results show the robustness of RDF descriptor against additive white noise and rotation.
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Badrinath G, Gupta P (2011) Stockwell transform based palm-print recognition. Appl Soft Comput 11(7):4267–4281
Badrinath G, Gupta P (2012) Palmprint based recognition system using phase-difference information. Futur Gener Comput Syst 28(1):287–305
Badrinath G, Phalguni G (2009) Robust biometric system using palmprint for personal verification. Advances in Biometrics:554–565
Chen G, Kegl B (2010) Invariant pattern recognition using contourlets and adaboost. Pattern Recog 43(3):579–583
Chen G, Xie W (2007) Pattern recognition with svm and dual-tree complex wavelets. Image Vision Comput 25(6):960–966
Chen G, Bui TD, Krzyak A (2009) Invariant pattern recognition using radon, dual-tree complex wavelet and fourier transforms. Pattern Recog 42(9):2013–2019
Chen J, Moon YS (2008) Using sift features in palmprint authentication. In: 19th IEEE International Conference on Pattern Recognition, pp 1–4
Cui J, Wen J, Fan Z (2014) Appearance-based bidirectional representation for palmprint recognition. Multimedia Tools and Applications:1–13. doi:10.1007/s11042-014-1887-4
Fahmy MM (2010) Palmprint recognition based on mel frequency cepstral coefficients feature extraction. Ain Shams Engineering Journal 1(1):39–47
Hoang TV, Tabbone S (2012) Invariant pattern recognition using the rfm descriptor. Pattern Recog 45(1):271–284
Imtiaz H, Fattah SA (2012) A wavelet-based dominant feature extraction algorithm for palm-print recognition. Digital Signal Processing 23(1):244-258
Jadhav DV, Holambe RS (2009) Feature extraction using radon and wavelet transforms with application to face recognition. Neurocomputing 72(7):1951–1959
Jadhav DV, Holambe RS (2010) Rotation, illumination invariant polynomial kernel fisher discriminant analysis using radon and discrete cosine transforms based features for face recognition. Pattern Recog Lett 31(9):1002–1009
Jia W, Huang DS, Zhang D (2008) Palmprint verification based on robust line orientation code. Pattern Recog 41(5):1504–1513
Kingsbury N (1999) Shift invariant properties of the dual-tree complex wavelet transform. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, vol 3, pp 1221–1224, doi:10.1109/ICASSP.1999.756198
Kingsbury N (2000) A dual-tree complex wavelet transform with improved orthogonality and symmetry properties. In: IEEE International Conference on Image Processing, vol 2, pp 375–378
Kong A, Zhang D, Kamel M (2006) Palmprint identification using feature-level fusion. Pattern Recog 39(3):478–487
Kong A, Zhang D, Kamel M (2009) A survey of palmprint recognition. Pattern Recog 42(7):1408–1418
Li H, Zhang J, Wang L (2014) Robust palmprint identification based on directional representations and compressed sensing. Multimedia Tools and Applications 70(3):2331–2345
Li W, Zhang D, Xu Z (2002) Palmprint identification by fourier transform. Int J Pattern Recognit Artif Intell 16(04):417–432
Mansoor AB, Masood H, Mumtaz M, Khan SA (2011) A feature level multimodal approach for palmprint identification using directional subband energies. J Netw Comput Appl 34(1):159–171
Mu M, Ruan Q, Guo S (2011) Shift and gray scale invariant features for palmprint identification using complex directional wavelet and local binary pattern. Neurocomputing 74(17):3351–3360
Pang Y, Yuan Y, Li X (2008) Gabor-based region covariance matrices for face recognition. IEEE Transactions on Circuits and Systems for Video Technology 18(7):989–993
Pang Y, Li X, Yuan Y (2010) Robust tensor analysis with l1-norm. IEEE Transactions on Circuits and Systems for Video Technology 20(2):172–178
Pang Y, Ji Z, Jing P, Li X (2013) Ranking graph embedding for learning to rerank. IEEE Transactions on Neural Networks and Learning Systems 24(8):1292–1303
Srinivas BG, Gupta P (2009) Palmprint based verification system using surf features. Contemporary Computing:250–262
Swathi N, Satish C, Satyanarayana VS, Ramesh P, Kumar H, Bhuma N (2011) New palm print authentication system by using wavelet based method. Journal of Signal and Image Processing 2(1):191–203
Tamrakar D, Khanna P (2010) Analysis of palmprint verification using wavelet filter and competitive code. In: International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, pp 20–25
Tamrakar D, Khanna P (2013) Palmprint verification with xor-sum code. Signal, image and video processing 9(3):535-542
Jadhav DV, Holambe RS (2008) Radon and discrete cosine transforms based feature extraction and dimensionality reduction approach for face recognition. Sig Process 88(10):2604–2609
Wang X, Guo FX, Xiao B, Ma JF (2010) Rotation invariant analysis and orientation estimation method for texture classification based on radon transform and correlation analysis. J Vis Commun Image Represent 21(1):29–32
Wang X, Lei L, Wang M (2012) Palmprint verification based on 2d–Gabor wavelet and pulse-coupled neural network. Knowledge-Based Syst 27:451–455
Wang Y, Ruan Q, Pan X (2007) Palmprint recognition method using dual-tree complex wavelet transform and local binary pattern histogram. In: IEEE International Symposium on Intelligent Signal Processing and Communication Systems, pp 646–649
Xiao B, Ma JF, Cui JT (2012) Combined blur, translation, scale and rotation invariant image recognition by radon and pseudo-fourier mellin transforms. Pattern Recog 45(1):314–321
Xiao S, Wu Y (2007) Rotation-invariant texture analysis using radon and fourier transforms. Chin Opt Lett 5(9):513–515
Xinchun W, Kaihua Y, Yuming L, Qing Y (2011) Palmprint recognition based on curvelet transform decision fusion. Procedia Engineering 23:303–309
Zhang D (1998) PolyU 2D+3D palmprint database. http://www.comp.polyu.edu.hk/biometrics
Zhang D, Zuo W, Yue F (2012) A comparative study of palmprint recognition algorithms. ACM Comput Surv (CSUR) 44(1):2
Zhang L, Guo Z, Wang Z, Zhang D (2007) Palmprint verification using complex wavelet transform. In: IEEE International Conference on Image Processing 2007, vol 2, pp 410417
Zhenan S CASIA Palmprint Database. http://biometrics.idealtest.org/
Zuo W, Yue F, Zhang D (2011) On accurate orientation extraction and appropriate distance measure for low-resolution palmprint recognition. Pattern Recog 44(4):964–972
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Tamrakar, D., Khanna, P. Noise and rotation invariant RDF descriptor for palmprint identification. Multimed Tools Appl 75, 5777–5794 (2016). https://doi.org/10.1007/s11042-015-2541-5
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DOI: https://doi.org/10.1007/s11042-015-2541-5