Hybrid approach to efficient text extraction in complex color images
Pattern Recognition Letters
Video text recognition using sequential Monte Carlo and error voting methods
Pattern Recognition Letters
Text Detection in Images Based on Unsupervised Classification of Edge-based Features
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Text segmentation in color images using tensor voting
Image and Vision Computing
Extraction of Text Objects in Video Documents: Recent Progress
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
An Efficient Edge Based Technique for Text Detection in Video Frames
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
A Laplacian Method for Video Text Detection
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
A Robust Wavelet Transform Based Technique for Video Text Detection
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Fast and robust text detection in images and video frames
Image and Vision Computing
Edge Based Binarization for Video Text Images
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
A Gradient Vector Flow-Based Method for Video Character Segmentation
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Scene Text Extraction by Superpixel CRFs Combining Multiple Character Features
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
A New Gradient Based Character Segmentation Method for Video Text Recognition
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
A New Fourier-Moments Based Video Word and Character Extraction Method for Recognition
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Binarization of Textual Content in Video Frames
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
A New Method for Arbitrarily-Oriented Text Detection in Video
DAS '12 Proceedings of the 2012 10th IAPR International Workshop on Document Analysis Systems
Automatic text detection and tracking in digital video
IEEE Transactions on Image Processing
Localizing and segmenting text in images and videos
IEEE Transactions on Circuits and Systems for Video Technology
Development of an Assamese OCR using Bangla OCR
Proceeding of the workshop on Document Analysis and Recognition
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Extraction and recognition of Bangla text from video frame images is challenging due to fonts type and style variation, complex color background, low-resolution, low contrast etc. In this paper, we propose an algorithm for extraction and recognition of Bangla and Devanagari text form video frames with complex background. Here, a two-step approach has been proposed. After text localization, the text line is segmented into words using information based on line contours. First order gradient values of the text blocks are used to find the word gap. Next, an Adaptive SIS binarization technique is applied on each word. Next this binarized text block is sent to a state of the art OCR for recognition.