Text Enhancement with Asymmetric Filter for Video OCR

Authors:
Affiliations:
Venue:
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Year:
2001

Citing 0
Cited 8

Text segmentation based on stroke filter

MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
A stroke filter and its application to text localization

Pattern Recognition Letters
2DVTE: A two-directional videotext extractor for rapid and elaborate design

Pattern Recognition
A new video text extraction approach

ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
A spatiotemporal text localization and identification approach for content-based video browsing

Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
Display text segmentation after learning best-fitted OCR binarization parameters

Expert Systems with Applications: An International Journal
Chinese text location under complex background using Gabor filter and SVM

Neurocomputing
Detection and recognition of text superimposed in images base on layered method

Neurocomputing

Quantified Score

Hi-index	0.01

Visualization

Abstract

Abstract: Stripes are common sub-structures of text characters, and the scale of these stripes varies little within a word. This scale consistency thus provides us with a useful feature for text detection and segmentation. In this paper a new form of filter is derived from the Gabor filter, and it is shown this filter can efficiently estimate the scales of these stripes. The contrast of text in video can then be increased by enhancing the edges of only those stripes found to correspond to a suitable scale. More specifically the algorithm presented here enhances the stripes in three pre-selected scale ranges. The resulting enhancement yields much better performance from the binarization process, which is the step required before character recognition.