Video OCR for Digital News Archive
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Locating Characters in Scene Images Using Frequency Features
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Hybrid Chinese/English Text Detection in Images and Video Frames
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Multi-Modal Fusion for Video Understanding
AIPR '01 Proceedings of the 30th on Applied Imagery Pattern Recognition Workshop
Modified LZW Algorithm for Efficient Compressed Text Retrieval
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
Detecting and reading text in natural scenes
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Morphological text extraction from images
IEEE Transactions on Image Processing
A comprehensive method for multilingual video text detection, localization, and extraction
IEEE Transactions on Circuits and Systems for Video Technology
Document analysis applied to fragments: feature set for the reconstruction of torn documents
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Stereo camera based wearable reading device
AH '12 Proceedings of the 3rd Augmented Human International Conference
Fast rotation-invariant video caption detection based on visual rhythm
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Hi-index | 0.00 |
This paper presents a morphology-based text line extraction algorithm for extracting text regions from cluttered images. First of all, the method defines a novel set of morphological operations for extracting important contrast regions as possible text line candidates. The contrast feature is robust to lighting changes and invariant against different image transformations like image scaling, translation, and skewing. In order to detect skewed text lines, a moment-based method is then used for estimating their orientations. According to the orientation, an x-projection technique can be applied to extract various text geometries from the text-analogue segments for text verification. However, due to noise, a text line region is often fragmented to different pieces of segments. Therefore, after the projection, a novel recovery algorithm is then proposed for recovering a complete text line from its pieces of segments. After that, a verification scheme is then proposed for verifying all extracted potential text lines according to their text geometries. Experimental results show that the proposed method improves the state-of-the-art work in terms of effectiveness and robustness for text line detection.