Fingerprint enhancement using modified short-time fourier transform

  • Authors

    • Jyotika Chopra
    • Amod Kumar
    • Anupma Marwaha
    • Sanjay Marwaha
    https://doi.org/10.14419/ijet.v7i4.29737
  • Fingerprint Enhancement, Ridges, Window, Non-Stationary, M-STFT.

  • In this paper, a Modified Short-time Fourier Transform (M-STFT) fingerprint enhancement technique for non-stationary ridges has been proposed. It improves the local section of image as the fingerprint ridges fade or change with the passage of time. Freely available database (FVC2002 DB3) was used to evaluate the method. To choose the appropriate process window, various experiments on a subset of database were performed. The proposed approach based on the use of Tukey window analyses the transient data more effectively compared with other windows. The non-stationary nature of images are more efficiently enhanced using Tukey window. This scheme not only promises better fingerprint enhancement but also results in lesser computational cost than the existing methods.

     

     


     

  • References

    1. [1] Mehtre BM, Murthy NN & Kapoor S et al, “Segmentation of Fingerprint Images Using the Directional Imageâ€, Pattern Recognition, vol. 20,no. 4, (1987), pp.429-435.Available online: https://doi.org/10.1016/0031-3203(87)90069-0.

      [2] Sowjanya K & Kumar PR, "Gray level image enhancement using nature inspired optimization algorithm: An objective based approach", World Journal of Modelling and Simulation, vol.13, no.1, (2017), pp. 66-80.

      [3] Parkavi R, Babu KRC & Kumar JA, “Multimodal biometrics for user authentication†11th IEEE International Conference on Intelligent Systems and Control (ISCO), (2017), pp. 501–505, Available online: https://doi.org/10.1109/ISCO.2017.7856044.

      [4] Sherlock BG, Monro DM & Millard K, “Fingerprint Enhancement by directional Fourier filteringâ€, Visual Image and Signal Processing, vol.141, no. 2, (1994), pp. 87-94 https://doi.org/10.1049/ip-vis:19949924.

      [5] Yong Z, Waibin H & Zhike H, “An Enhancement Algorithm Based on Fingerprint Image with Signature†International Forum on Information Technology and Applications, (2010), pp.324-326, Available online: https://doi.org/10.1109/IFITA.2010.348.

      [6] Sawant HK & Deore M, “A comprehensive review of image enhancement techniquesâ€, Int. J. Comput. Technol. Electron. Engg, (2010), pp.39–44

      [7] Li B, Wang S & Geng Y, “Image enhancement based on Retinex and lightness decomposition†in Proc. IEEE Int. Conf. Image Process, (2011), pp. 3417–3420 https://doi.org/10.1109/ICIP.2011.6116445.

      [8] Rahman Z, Jobson DJ & Woodell GA, “Retinex Processing for Automatic Image Enhancementâ€, Journal of Electron Imaging, vol.13, no.1, (2004), pp.100-110.Availableonline: https://doi.org/10.1117/1.1636183.

      [9] Neethu S, Sreelakshmi S & Sankar D, “Enhancement of fingerprint using FFT×|FFT|n filter†International Conference on Information and Communication Technologies (ICICT 2014), Procedia Computer Science.vol.46, (2015), pp.1561–1568. Available online: https://doi.org/10.1016/j.procs.2015.02.083.

      [10] Oliveira MA & Leite NJ, “A multiscale directional operator and morphological tools for reconnecting broken ridges in fingerprint imagesâ€, Pattern Recognition, vol. 41, no. 1,(2008), pp.367-77.Available online: https://doi.org/10.1016/j.patcog.2007.05.019.

      [11] Dhanabal R, Bharathi V& Prithvi Jain G et al, “Gabor Filter Design for Fingerprint Application Using Matlab and Verilog HDLâ€, International Journal of Engineering and Technology, vol. 5, no.2,(2013),pp. 1386-91.

      [12] Cartwright AN, Chikkerur S & Govindaraju V, “Fingerprint enhancement using STFT analysisâ€, Pattern Recognition,vol. 40,no.1,(2007),pp.198-211.Available online: https://doi.org/10.1016/j.patcog.2006.05.036.

      [13] Bahgat GA, Khalil AH & Abdel Kader NS. et al, “Fast and accurate algorithm for core point detection in fingerprint imagesâ€, Egyptian Informatics Journal, vol.14, no. 1, (2013), pp.15–25. Available online: https://doi.org/10.1016/j.eij.2013.01.002.

      [14] Ambadiyil S, Soorej KS & Mahadevan Pillaic VP, “Biometric based Unique ID Generation and One to One Verification for SecurityDocuments†(ICICT 2014), Procedia Computer Science, vol. 46,(2015), pp.507–516. Available online: https://doi.org/10.1016/j.procs.2015.02.075.

      [15] Yang J, Liu L & Jiang T et al, “A modified Gabor filter design method for fingerprint image enhancement†Pattern Recognition Letters, vol. 24, no.12, (2003), pp. 1805–1817. Available online: https://doi.org/10.1016/S0167-8655(03)00005-9.

      [16] Available online: Fingerprint verification competition, http://bias.csr.unibo.it/fvc2002/.

      [17] Harris J, “On then Use of Windows with the Discrete for Harmonic Analysis Fourier Transform.†proceedings of IEEE, vol. 66, no.1, (1978),pp.51-83.Available-online: https://doi.org/10.1109/PROC.1978.10837.

      [18] Otsu N, “A Threshold Selection Method from Gray-Level Histogramsâ€IEEE Transactions on Systems, Man, and Cybernetics vol.9, no. 1, (1979), pp.62–66. Available online: https://doi.org/10.1109/TSMC.1979.4310076.

      [19] Srinivasan VS, Murthy NN, “Detection of Singular Points in Fingerprint Imagesâ€, Pattern Recognition, vol. 25, no. 2, (1992), pp. 139-153. Available online: https://doi.org/10.1016/0031-3203(92)90096-2.

      [20] Rao AR, A Taxonomy of Texture Descriptions and Identification, Springer-Verlag, Berlin, 1990. https://doi.org/10.1007/978-1-4613-9777-9.

      [21] Greenberg S, Aladjem M &Kogan D., “Fingerprint Image Enhancement using Filtering Techniquesâ€, Real-Time Imaging, vol. 8, no.3, (2002), pp. 227–236. Available online: https://doi.org/10.1006/rtim.2001.0283.

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  • How to Cite

    Chopra, J., Kumar, A., Marwaha, A., & Marwaha, S. (2018). Fingerprint enhancement using modified short-time fourier transform. International Journal of Engineering & Technology, 7(4), 7015-7020. https://doi.org/10.14419/ijet.v7i4.29737