Skip to main content
SpringerLink
Log in
Book cover

Chinese Conference on Biometric Recognition

CCBR 2014: Biometric Recognition pp 404–411Cite as

Text-Independent Writer Identification Using Improved Structural Features

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8833))

Abstract

This paper presents a method based on two structural features for text-independent writer identification, i.e. SIFT descriptor (SD) and triangular descriptor (TD). For SD, we modify the original SIFT algorithm to make the SD possess orientation information, called modified SIFT descriptor (MSD). Acodebookis constructed by clustering the MSDs extracted from training samples. Then the bag of word technique is used to compute a MSD histogram (MSDH) as a feature vector for writer identification. For TD, it is designed to represent the unique relationship between three selected points. A TD histogram (TDH) of the TD occurrences is computed as another feature vector by tracking the contour points of a handwriting image. The distances between MSDHs and TDHs are computed and combined as the final dissimilarity measurement for the handwriting images. Experimental results on two public challenging datasets demonstrate the efficiency of the proposed method.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Louloudis, G., Stamatopoulos, N., Gatos, B.: ICDAR 2011 Writer Identification Contest. In: International Conference on Document Analysis and Recognition, Beijing, pp. 1475–1479 (2011)

    Google Scholar 

  2. Louloudis, G., Gatos, B., Stamatopoulos, N.: ICFHR 2012 Competition on Writer Identification Challenge 1: Latin/Greek Documents. In: International Conference on Frontiers in Handwriting Recognition, Bari, pp. 829–834 (2012)

    Google Scholar 

  3. Louloudis, G., Gatos, B., Stamatopoulos, N., Papandreou, A.: ICDAR 2013 Competition On Writer Identification. In: International Conference on Document Analysis and Recognition, Washington, pp. 1397–1401 (2013)

    Google Scholar 

  4. Plamondon, R., Lorette, G.: Automatic Signature Verification and Writer Identification - The State of The Art. Pattern Recognition 22, 107–131 (1989)

    Article  Google Scholar 

  5. Said, H.E.S., Tan, T.N., Baker, K.D.: Personal Identification Based on Handwriting. Pattern Recognition 33, 149–160 (2000)

    Article  Google Scholar 

  6. He, Z., You, X., Tang, Y.Y.: Writer Identification of Chinese Handwriting Documents Using Hidden Markov Tree Model. Pattern Recognition 41, 1295–1307 (2008)

    Article  MATH  Google Scholar 

  7. He, Z., You, X., Tang, Y.Y.: Writer Identification Using Global Wavelet-Based Features. Neurocomputing 71, 1832–1841 (2008)

    Article  Google Scholar 

  8. Du, L., You, X., Xu, H., Gao, Z., Tang, Y.: Wavelet Domain Local Binary Pattern Features for Writer Identification. In: International Conference on Pattern Recognition, Istanbul, pp. 3691–3694 (2010)

    Google Scholar 

  9. Bulacu, M., Schomaker, L., Vuurpijl, L.: Writer Identification Using Edge-Based Directional Features. In: International Conference on Document Analysis and Recognition, Edinburgh, pp. 937–941 (2003)

    Google Scholar 

  10. Bulacu, M., Schomaker, L.: Text-Independent Writer Identification and Verification Using Textural and Allographic Features. IEEE Transactions on Pattern Analysis and Machine Intelligence 29, 701–717 (2007)

    Article  Google Scholar 

  11. Li, X., Ding, X.: Writer Identification of Chinese Handwriting Using Grid Microstructure Feature. In: International Conference on Biometrics, Alghero, pp. 1230–1239 (2009)

    Google Scholar 

  12. Tang, Y.B., Wu, X.Q., Bu, W.: Offline Text-Independent Writer Identification Using Stroke Fragment and Contour Based Features. In: International Conference on Biometrics, Madrid (2013)

    Google Scholar 

  13. Ghiasi, G., Safabakhsh, R.: Offline Text-Independent Writer Identification Using Codebook and Efficient Code Extraction Methods. Image and Vision Computing 31, 379–391 (2013)

    Article  Google Scholar 

  14. Jain, R., Doermann, D.: Writer Identification Using an Alphabet of Contour Gradient Descriptors. In: International Conference onDocument Analysis and Recognition, Washington, pp. 550–554 (2013)

    Google Scholar 

  15. Fiel, S., Sablatnig, R.: Writer Retrieval and Writer Identification Using Local Features. In: International Workshop on Document Analysis Systems, Queensland, pp. 145–149 (2012)

    Google Scholar 

  16. Fiel, S., Sablatnig, R.: Writer Identification and Writer Retrieval using the Fisher Vector on Visual Vocabularies. In: International Conference onDocument Analysis and Recognition, Washington, pp. 545–549 (2013)

    Google Scholar 

  17. Lowe, D.: Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision 60, 91–110 (2004)

    Article  Google Scholar 

  18. Marti, U.V., Bunke, H.: The IAM-Database: an English Sentence Database for Offline Handwriting Recognition. International Journal on Document Analysis and Recognition 5, 39–46 (2002)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China

    Youbao Tang & Xiangqian Wu

  2. Department of New Media Technologies and Arts, Harbin Institute of Technology, Harbin, 150001, China

    Wei Bu

Authors
  1. Youbao Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wei Bu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xiangqian Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, 100190, Beijing, China

    Zhenan Sun

  2. Institute of Computing Technology, Chinese Academy of Sciences, No.6 Kexueyuan South Road, P.O. Box 2704, 100190, HaiDian, Beijing, China

    Shiguang Shan

  3. School of Information Science and Engineering, Shenyang University of Technology, No.111, Shenliao West Road, Economic and Technological Development Zone, 110870, Shenyang, China

    Haifeng Sang  & Weiqi Yuan  & 

  4. Software Engineering Institute, Tsinghua University, No. 1 Tsinghua Yuan, Haidian District, 100084, Beijing, China

    Jie Zhou

  5. School of Computer Science and Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, 100191, Beijing, China

    Yunhong Wang

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Tang, Y., Bu, W., Wu, X. (2014). Text-Independent Writer Identification Using Improved Structural Features. In: Sun, Z., Shan, S., Sang, H., Zhou, J., Wang, Y., Yuan, W. (eds) Biometric Recognition. CCBR 2014. Lecture Notes in Computer Science, vol 8833. Springer, Cham. https://doi.org/10.1007/978-3-319-12484-1_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-12484-1_45

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12483-4

  • Online ISBN: 978-3-319-12484-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation