Text extraction and recognition from still and moving images have many important applications. But, when a source image is an ordinary natural scene, text extraction becomes very complicated and difficult. In this paper, we suggest text extraction methods based on color and gray information. The method using the color image is processed by color reduction, color clustering, and text region extraction and verifications. The method using the gray-level image is processed by edge detection, long line removal, repetitive run-length smearing (RLS), and text region extraction and verifications. Combining two approaches improves the extraction accuracies both in simple and in complex images. Also, estimating skew and perspective of the extracted text regions are considered.
|Title of host publication||Document Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings|
|Editors||Daniel Lopresti, Jianying Hu, Ramanujan Kashi|
|Number of pages||12|
|ISBN (Print)||3540440682, 9783540440680|
|Publication status||Published - 2002|
|Event||5th International Workshop on Document Analysis Systems, DAS 2002 - Princeton, United States|
Duration: 2002 Aug 19 → 2002 Aug 21
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||5th International Workshop on Document Analysis Systems, DAS 2002|
|Period||02/8/19 → 02/8/21|
Bibliographical notePublisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)