Binarization of Document Images using Hadamard Multiresolution Analysis

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In this article, we propose a new method that combines the use of a global threshold and a window-based scheme for computing local thresholds. The latter scheme compares the contrast of gray values within a neighborhood whose size varies with the scale of the objects being examined. To compute the scale quantity, a new wavelet model entitled Hadamard multiresolution analysis is also proposed. When the window-based scheme is applied to the areas where global threshold is likely to fail, we obtain uniformly better binary results than using a global threshold only. Significant improvements to OCR performance can also be achieved by our binary results.

Fu Chang, Kung-Hao Liang, Tzu-Ming Tan, Wen-Liang

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Document Analysis | Global Threshold | Hadamard Multiresolution Analysis | ICDAR 1999 | Window-based Scheme |

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Added	03 Aug 2010
Updated	03 Aug 2010
Type	Conference
Year	1999
Where	ICDAR
Authors	Fu Chang, Kung-Hao Liang, Tzu-Ming Tan, Wen-Liang Hwang

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Binarization of Document Images using Hadamard Multiresolution Analysis

Document Analysis | Global Threshold | Hadamard Multiresolution Analysis | ICDAR 1999 | Window-based Scheme |

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