Computer Assisted Transcription of Text Images and Multimodal Interaction
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
Multimodal interactive transcription of text images
Pattern Recognition
A multi-scale framework for adaptive binarization of degraded document images
Pattern Recognition
Restoration of double-sided ancient music documents with bleed-through
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Study of different interactive editing operations in an assisted transcription system
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
Computer assisted transcription for ancient text images
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Methods for written ancient music restoration
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
An iterative multimodal framework for the transcription of handwritten historical documents
Pattern Recognition Letters
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Resorting to restoration techniques for heritage documents becomes an increasingly urgent need. In fact, these valuable resources for human being are subject to several types of degradations limiting their use. A proposed solution to this problem is the application of restoration techniques on the digital copy of the originally degraded document. This would improve human readability and allow further application of image processing techniques. Hence identzfiing a typology of dzferent types of image degradation is of primary concern for use in restoration techniques. Our main contributions in this paper are twofold. In the first instance, we propose a typology for diSferent types of degradation of old document images. Our proposed typology is lead by the type of image processing undertaken in the course of virtual restoration. The second contribution is to develop a restoration method treating specific document degradation: "ink bleed- through ': The proposed method is a non-supervised segmentation method. It is based on a recursive segmentation approach applied to the principal component analysis space. As an illustration, a scheme of "ink bleed-through" removal of the provided document images by the archive of "Chatillon-Chalaronne" is presented. Experiments conducted on these real ancient document images illustrate the eflectiveness of our proposed method.