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Writer Verification on Bangla Handwritten Characters

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Advanced Computing and Systems for Security

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 396))

Abstract

Writer Identification/Verification being a biometric personal authentication technique can be extensively used for personal verification. Currently, it has gained a renewed interest in researchers due to the promising prospect in real life applications like forensic, security, access control, etc. In the proposed work, we have modified and evaluated the performance of different textural features for writer verification on unconstrained Bangla isolated characters. A collection of 500 documents of isolated Bangla characters from 100 writers consisting of total 35,500 Bangla characters (25,500 alphabets + 5000 Bangla numerals + 5000 Bangla vowel modifiers) are used in this respect. The combination of features yields better performance. The evaluation of results shows that our method is effective and can be applied on large database.

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References

  1. Fornes, A., Llados, J., Sanchez, G., Bunke, H.: Writer identification in old handwritten music scores. In: Proceedings of 8th IAPR workshop on DAS, pp. 347–353 (2008)

    Google Scholar 

  2. Chaudhry, R., Pant, S.K.: Identification of authorship using lateral palm print: a new concept. J. Forensic Sci. 141, 49–57 (2004)

    Article  Google Scholar 

  3. Schomaker, L.: Advances in writer identification and verification. In: Proceedings of 9th ICDAR, vol. 2, pp. 1268–1273 (2007)

    Google Scholar 

  4. Plamondon, R., Lorette, G.: Automatic signature verification and writer identification: the state of the art. Pattern Recogn. 22(2), 107–131 (1989)

    Article  Google Scholar 

  5. Chan, L.F., Kamins, D., Zimerann, K.: Signature recognition through spectral analysis. Pattern Recogn. 22, 39–44 (1989)

    Article  Google Scholar 

  6. Wan, L., Wan, B., Lin, Z.-C.: On-line signature verification with two stage statistical models. In: Proceedings of 8th ICDAR, pp. 282–286 (2005)

    Google Scholar 

  7. Prakash, H.N., Guru, D.S.: Offline signature verification: an approach based on score level fusion. Int. J. Comput. Appl. 1(18), 52–58 (2010)

    Google Scholar 

  8. Yilmaz, M.B., Yanikoglu, B., Tirkaz, C., Kholmatov, A.: Offline signature verification using classifier combination of HOG and LBP features. In: Proceedings of IJCB, pp. 1–7 (2011)

    Google Scholar 

  9. Malik, M.I., Liwicki, M., Dengel, A.: Evaluation of local and global features for offline signature verification. In: Proceedings of 1st AFHA, pp. 26–30 (2011)

    Google Scholar 

  10. Liwicki, M., Malik, M.I., van den Heuvel, C.E., Xiaohong, C., Berger, C., Stoel, R., Blumenstein, M., Found, B.: Signature verification competition for online and offline skilled forgeries (SigComp2011). In: Proceedings of 11th ICDAR, pp. 1480–1484 (2011)

    Google Scholar 

  11. Ferrer, M., Vargas, J., Morales, A., Ordonez, A.: Robustness of offline signature verification based on gray level features. IEEE Trans. Inf. Forensics Secur. 7(3), 966–977 (2012)

    Article  Google Scholar 

  12. Neamah, K., Mohamad, D., Saba, T., Rehman, A.: Discriminative features mining for offline handwritten signature verification. 3D Res. 5(1), 1–6 (2014)

    Article  Google Scholar 

  13. Srihari, S., Cha, S., Arora, H., Lee, S.: Individuality of handwriting. J. Forensic Sci. 47(4), 1–17 (2002)

    Article  Google Scholar 

  14. Said, H.E.S., Tan, T.N., Baker, K.D.: Personal identification based on handwritting. Pattern Recogn. 33, 149–160 (2000)

    Article  Google Scholar 

  15. Bulacu, M., Schomaker, L., Vuurpijl, L.: Writer identification using edge-based directional features. In: Proceedings of 7th ICDAR, vol. 2, pp. 937–941 (2003)

    Google Scholar 

  16. Siddiqi, I., Vincent, N.: Writer identification in handwritten documents. In: Proceedings of 9th ICDAR, pp. 108–112 (2007)

    Google Scholar 

  17. Jain, R., Doermann, D.: Writer identification using an alphabet of contour gradient descriptors. In: Proceedings of 12th ICDAR, pp. 550–554 (2013)

    Google Scholar 

  18. Ghiasi, G., Safabakhsh, R.: Offline text-independent writer identification using codebook and efficient code extraction methods. Image Vis. Comput. 31, 379–391 (2013)

    Article  Google Scholar 

  19. Djeddi, C., Souici-Meslati, L., Ennaji, A.: Writer recognition on Arabic handwritten documents. In: Proceedings of 5th ICISP, pp. 493–501 (2012)

    Google Scholar 

  20. Abdi, M.N., Khemakhem, M.: A model-based approach to offline text-independent Arabic writer identification and verification. Pattern Recogn. 48(5), 1890–1903 (2015)

    Article  Google Scholar 

  21. Djeddi, C., Siddiqi, I., Souici-Meslati, L., Ennaji, A.: Text-independent writer recognition using multi-script handwritten texts. Pattern Recogn. Lett. 34, 1196–1202 (2013)

    Article  Google Scholar 

  22. Halder, C., Thakur, K., Phadikar, S., Roy, K.: Writer Identification from handwritten Devanagari script. In: Proceedings of INDIA-2015, pp. 497–505 (2015)

    Google Scholar 

  23. Ding, H., Wu, H., Zhang, X., Chen, J.P.: Writer identification based on local contour distribution feature. Int. J. Signal Process. Image Process Pattern Recogn. 7(1), 169–180 (2014)

    Google Scholar 

  24. Garain, U., Paquet, T.: Off-line multi-script writer identification using AR coefficients. In: Proceedings of 10th ICDAR, pp. 991–995 (2009)

    Google Scholar 

  25. Chanda, S., Franke, K., Pal, U., Wakabayashi, T.: Text independent writer identification for Bengali script. In: Proceedings of ICPR, pp. 2005–2008 (2010)

    Google Scholar 

  26. Halder, C., Roy, K.: Individuality of isolated Bangla numerals. J. Netw. Innov. Comput. 1, 33–42 (2013)

    Google Scholar 

  27. Halder, C., Roy, K.: Individuality of isolated Bangla characters. In: Proceedings of ICDCCom, pp. 1–6 (2014)

    Google Scholar 

  28. Yamazaki, Y., Nagao, T., Komatsu, N.: Text-indicated writer verification using hidden Markov models. In: Proceedings of 7th ICDAR, pp. 329–332 (2003)

    Google Scholar 

  29. Zois, E., Anastassopoulos, V.: Morphological waveform coding for writer identification. IEEE Trans. Pattern Recogn. 33(3), 385–398 (2000)

    Article  Google Scholar 

  30. Srihari, S.N., Beal, M.J., Bandi, K., Shah, V.: A statistical model for writer verification. In: Proceedings of 8th ICDAR, pp. 1105–1109 (2005)

    Google Scholar 

  31. Bulacu, M., Schomaker, L.: Text-independent writer identification and verification using textural and allographic features. IEEE Trans. Pattern Anal. Mach. Intell. 29(4), 701–717 (2007)

    Article  Google Scholar 

  32. Marti, U., Bunke, H.: The IAM-database: an english sentence database for offline handwriting recognition. Int. J. Doc. Anal. Recogn. 5(1), 39–46 (2002)

    Article  MATH  Google Scholar 

  33. Schomaker, L., Vuurpijl, L.: Forensic writer identification: a benchmark data set and a comparison of two systems. NICI, Nijmegen (2000). technical report

    Google Scholar 

  34. Guyon, I., Schomaker, L., Plamondon, R., Liberman, R., Janet, S.: UNIPEN project of online data exchange and recognizer benchmarks. In: Proceedings of 12th ICPR, pp. 29–33 (1994)

    Google Scholar 

  35. Bulacu, M., Schomaker, L., Brink, A.: Text-independent writer identification and verification on offline arabic handwriting. In: Proceedings of 9th ICDAR, pp. 769–773 (2007)

    Google Scholar 

  36. Pechwitz, M., Maddouri, S., Margner, V., Ellouze, N., Amiri, H.: IFN/ENIT-database of handwritten arabic words. In: Proceedings of CIFED, pp. 129–136 (2002)

    Google Scholar 

  37. Gupta, S., Namboodiri, A.: Text dependent writer verification using boosting. In: Proceedings of 11th ICFHR (2008)

    Google Scholar 

  38. Duhamel, P., Vetterli, M.: Fast Fourier transforms: a tutorial review and a state of the art. Sig. Process. 1(9), 259–299 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  39. Haralick, R.M., Shanmugan, K., Dinstein, I.: Textural features for image classification. IEEE Trans. Syst. Man Cybern. SMC-3(6), 610–621 (1973)

    Article  Google Scholar 

  40. Ahmed, N., Natarajan, T., Rao, K.R.: Discrete cosine transform. IEEE Trans. Comput. C-23(1), 90–93 (1974)

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgments

One of the author would like to thank Department of Science and Technology (DST) for support in the form of INSPIRE fellowship.

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Correspondence to Chayan Halder .

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Halder, C., Obaidullah, S.M., Paul, J., Roy, K. (2016). Writer Verification on Bangla Handwritten Characters. In: Chaki, R., Cortesi, A., Saeed, K., Chaki, N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 396. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2653-6_4

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  • DOI: https://doi.org/10.1007/978-81-322-2653-6_4

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