Quadratic spline wavelet approach to automatic extraction of baselines from document images

Yuan Y. Tang*, Lihua Yang, Jiming Liu

*Corresponding author for this work

Research output: Contribution to conferenceConference paperpeer-review

1 Citation (Scopus)

Abstract

This paper presents a wavelet-based approach to edge detection in document processing. According to local analysis of the document images using wavelet theory, a novel method is developed to detect the edges in document processing, including extraction of the contours of characters and excerpt of the reference lines in the form document images with gray-levels. In this method, the quadratic spline wavelet is utilized. Experiments have been contacted in this study. The positive results show the effectiveness of the applications of quadratic spline wavelet to edge detection, especially, to extract the reference lines and image boundaries in document processing.

Original languageEnglish
Pages693-696
Number of pages4
Publication statusPublished - 1997
EventProceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2) - Ulm, Ger
Duration: 18 Aug 199720 Aug 1997

Conference

ConferenceProceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2)
CityUlm, Ger
Period18/08/9720/08/97

Scopus Subject Areas

  • Computer Vision and Pattern Recognition

Fingerprint

Dive into the research topics of 'Quadratic spline wavelet approach to automatic extraction of baselines from document images'. Together they form a unique fingerprint.

Cite this