logo Idiap Research Institute        
 [BibTeX] [Marc21]
A Localization/Verification Scheme for Finding Text in Images and Video Frames Based on Contrast Independent Features and Machine Learning Methods
Type of publication: Journal paper
Citation: chen-spimc
Journal: Signal Processing: Image Communication
Volume: 19
Number: 3
Year: 2004
Month: 3
Note: Similar to RR-03-42.
Crossref: chen-rr0342:
Abstract: Automatic character detection in video sequences is a complex task, due to the variety of sizes and colors as well as to the complexity of the background. In this paper we address this problem by proposing a localization/verification scheme. Candidate text regions are first localized by using a fast algorithm with a very low rejection rate, which enables the character size normalization. Contrast independent features are then proposed for training machine learning tools in order to verify the text regions. Two kinds of machine learning tools, multilayer perceptrons and support vector machines, are compared based on four different features in the verification task. This scheme provides fast text detection in images and videos with a low computation cost, comparing with traditional methods.
Userfields: ipdinar={2004}, ipdmembership={vision},
Projects Idiap
Authors Chen, Datong
Odobez, Jean-Marc
Thiran, Jean-Philippe
Added by: [UNK]
Total mark: 0
  • odobez_2004_spic.pdf
  • rr03-42.ps.gz