Extraction of binary character/graphics images from grayscale document images
CVGIP: Graphical Models and Image Processing
A New Methodology for Gray-Scale Character Segmentation and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Introduction to Digital Image Processing
An Introduction to Digital Image Processing
Enhancement and Restoration of Digital Documents: Statistical Design of Nonlinear Algorithms
Enhancement and Restoration of Digital Documents: Statistical Design of Nonlinear Algorithms
Feature extraction of epiluminescence microscopic images by iterative segmentation algorithm
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
An adaptive multi-thresholding technique for binarization of color images
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
Development platform for parallel image processing
SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
Bitonal image creation for automatic content conversion
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
A framework for developing image processing algorithms with minimal overhead
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Benchmark database and GUI environment for printed Arabic text recognition research
WSEAS Transactions on Information Science and Applications
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Bitonal conversion is a basic preprocessing step in Automatic Content Analysis, a very active research area in the past years. The information retrieval process is performed usually on black and white documents in order to increase efficiency and use simplified investigation techniques. This paper presents a number of new modern conversion algorithms which are aimed at becoming an alternative to current approaches used in the industry. The proposed methods are suitable for both scanned images and documents in electronic format. Firstly, an algorithm consisting of a contrast enhancement step, followed by a conversion based on adaptive levelling of the document is presented. Then a new multi-threshold technique is suggested as a solution for noise interferences, a common feature of scanned books and newspapers. Finally, three more approaches adapted to the particular properties of electronic documents are introduced. Experimental results are given in order to verify the effectiveness of the proposed algorithms.