Image thresholding for optical character recognition and other applications requiring character image extraction

Authors:
J. M. White;G. D. Rohrer
Affiliations:
IBM Information Products Division, Charlotte, North Carolina;IBM Information Products Division, Charlotte, North Carolina
Venue:
IBM Journal of Research and Development
Year:
1983

Citing 0
Cited 18

Character Extraction from Interfering Background - Analysis of Double-Sided Handwritten Archival Documents

ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
Wavelet Applications in Segmentation of Handwriting in Archival Documents

WAA '01 Proceedings of the Second International Conference on Wavelet Analysis and Its Applications
Comparison of Some Thresholding Algorithms for Text/Background Segmentation in Difficult Document Images

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
A multistage adaptive thresholding method

Pattern Recognition Letters
Optimal combination of document binarization techniques using a self-organizing map neural network

Engineering Applications of Artificial Intelligence
Locally adaptive block thresholding method with continuity constraint

Pattern Recognition Letters
A hidden Markov model-based character extraction method

Pattern Recognition
Adaptive thresholding of tomograms by projection distance minimization

Pattern Recognition
Transition pixel: A concept for binarization based on edge detection and gray-intensity histograms

Pattern Recognition
A binarization method with learning-built rules for document images produced by cameras

Pattern Recognition
Estimation of proper parameter values for document binarization

CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
Selection of local thresholds for tomogram segmentation by projection distance minimization

DGCI'08 Proceedings of the 14th IAPR international conference on Discrete geometry for computer imagery
Solidity based local threshold for oil sand image segmentation

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Adaptive local threshold with shape information and its application to object segmentation

ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Evaluation of binarization algorithms for camera-based devices

MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
HistDoc v. 2.0: enhancing a platform to process historical documents

Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Automatic evaluation of document binarization results

CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
HistDoc - a toolbox for processing images of historical documents

ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

Two new, cost-effective thresholding algorithms for use in extracting binary images of characters from machine- or hand-printed documents are described. The creation of a binary representation from an analog image requires such algorithms to determine whether a point is converted into a binary one because it falls within a character stroke or a binary zero because it does not. This thresholding is a critical step in Optical Character Recognition (OCR). It is also essential for other Character Image Extraction (CIE) applications, such as the processing of machine-printed or handwritten characters from carbon copy forms or bank checks, where smudges and scenic backgrounds, for example, may have to be suppressed. The first algorithm, a nonlinear, adaptive procedure, is implemented with a minimum of hardware and is intended for many CIE applications. The second is a more aggressive approach directed toward specialized, high-volume applications which justify extra complexity.