Restoration of Archival Documents Using a Wavelet Technique
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Automatic Indexing of Newspaper Microfilm Images
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Word and Sentence Extraction Using Irregular Pyramid
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Directional Wavelet Approach to Remove Document Image Interference
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Input sensitive thresholding for ancient Hebrew manuscript
Pattern Recognition Letters
Text Extraction from Name Cards with Complex Design
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Restoration of old documents with genetic algorithms
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Methods for written ancient music restoration
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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It is important to provide digitized manuscripts of old literatures(in page image form) and their electronic texts (in full text form), with an automatically referring mechanism between the images and the texts, on the internet. As an essential step for creating such an automatic reference system, this paper describes the issue of extracting character areas from page images of old handwriting manuscripts. Page images of old manuscripts are usually terribly dirty and considerable large in size. To overcome the first problem, we propose a new effective method for separating characters from noisy background, since conventional threshold selection techniques are inadequate to cope with the image where the gray levels of the character parts are overlapped by that of the background. To solve the second problem, we propose an approach based on a downscaled image and a recursive labeling method for word extraction. This approach is suitable for large size images because it has the advantage of saving memory and reducing processing time.