Extraction of reference lines and items from form document images with complicated background

Dihua Xi, Seong Whan Lee

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

The extraction of reference lines and items is a fundamental and crucial task in form document analysis. Most of the studies performed so far were done in connection with binary images. This paper proposes a method of extracting lines from gray-level images, by constructing a 2D pseudo Gaussian-Coiflet wavelet with adjustable rectangular support. We also present a method of extracting items using the extracted reference lines and multiresolution wavelet sub-images, which is independent of the intensity of the strokes and backgrounds. The experimental results demonstrate the effectiveness of our proposed methods.

Original languageEnglish
Pages (from-to)289-305
Number of pages17
JournalPattern Recognition
Volume38
Issue number2
DOIs
Publication statusPublished - 2005 Feb

Bibliographical note

Funding Information:
About the Author —SEONG-WHAN LEE received his BS degree in Computer Science and Statistics from Seoul National University, Seoul, Korea, in 1984, and his MS and Ph.D. degrees in computer science from KAIST in 1986 and 1989, respectively. From February 1989 to February 1995, he was an assistant professor in the Department of Computer Science at Chungbuk National University, Cheongju, Korea. In March 1995, he joined the faculty of the Department of Computer Science and Engineering at Korea University, Seoul, Korea, as an associate professor, and he is now a full professor. Currently, Dr. Lee is the director of the National Creative Research Initiative Center for Artificial Vision Research (CAVR) which is supported by the Korean Ministry of Science and Technology. He was the winner of the Annual Best Paper Award of the Korea Information Science Society in 1986. He obtained the First Outstanding Young Researcher Award at the Second International Conference on Document Analysis and Recognition in 1993, and the First Distinguished Research Professor Award from Chungbuk National University in 1994. He also obtained the Outstanding Research Award from the Korea Information Science Society in 1996. He has been the co-Editor-in-chief of the International Journal on Document Analysis and Recognition since 1998 and the associate editor of the Pattern Recognition Journal, the International Journal of Pattern Recognition and Artificial Intelligence, and the International Journal of Computer Processing of Oriental Languages since 1997. He was the Program co-chair of the Sixth International Workshop on Frontiers in Handwriting Recognition, the Second International Conference on Multimodal Interface, the 17th International Conference on the Computer Processing of Oriental Languages, the Fifth International Conference on Document Analysis and Recognition, and the Seventh International Conference on Neural Information Processing. He was the workshop co-chair of the Third International Workshop on Document Analysis Systems and the First IEEE International Workshop on Biologically Motivated Computer Vision. He served on the program committees of several well-known international conferences. He is a fellow of IAPR, a senior member of the IEEE Computer Society and a life member of the Korea Information Science Society and the Oriental Languages Computer Society. His research interests include pattern recognition, computer vision and neural networks. He has published more than 150 publications in these areas in international journals and conference proceedings, and has authored five books.

Keywords

  • Form document analysis
  • Item extraction
  • Multiresolution decomposition
  • Reference line extraction
  • Wavelet

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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