Locating text in color document images

Erel Ortaçaǧ, Bülent Sankur, Khalid Sayood

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


A novel text extraction algorithm from cluttered color document images is developed and tested. The algorithm consists of a color segmentation stage followed by rule-based filtering of non-text regions. Extraction of text segments algorithm uses the measurement of geometrical properties as well as characterness properties and a set of heuristic rules. The algorithm includes a fusion cycle of three different segmentation maps, and a restitution cycle to restore any deleted characters and/or their diacritical marks. The proposed method, proven successful in extraction of texts from many color document images, has applications in color image indexing and retrieval.

Original languageEnglish (US)
JournalEuropean Signal Processing Conference
StatePublished - 1998
Event9th European Signal Processing Conference, EUSIPCO 1998 - Island of Rhodes, Greece
Duration: Sep 8 1998Sep 11 1998

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


Dive into the research topics of 'Locating text in color document images'. Together they form a unique fingerprint.

Cite this