PhD: Document image enhancement using topological and morphological filters in simplicial complexes

September 20, 2008

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Document image enhancement using topological and morphological filters in simplicial complexes: 3 years PhD position held at the Computing Science Department of ESIEE Paris

Description : Further to the acceptance of a French Ministry of Industry funded project, applications are invited for a 3 years PhD position held at the Computing Science Department of ESIEE Paris. For an overview of the activities of the Department, please visit: http://www.esiee.fr/en/research/a2si.phpThe overall goal of the project is to improve over an existing document analysis system, which is able to convert various type of documents, most of them originating from the French heritage and assuming various physical forms (books, microfilms, postcards, civil deeds, etc.). The novelty of the PhD comes from the proposed methodology, which suggests processing images directly in grey levels rather than in their binarized version. Strong knowledges in image analysis and processing, as well as the technical mastery of a programming language (such as C++ or Java) are a must. Experience with an environment such as Matlab or R, and further knowledges on statistical classification/recognition methods (SVM, neural networks, bayesian networks, …) would be additional assets. Salary : 38 k€ / annum. Expected starting date : november 2008. Interested applicants should be either French-speaking or fluent in english. Resumes, and motivation letters, and publications/works when relevant should be sent by e-mail only to : l.najman@esiee.fr PhD : Document image enhancement using topological and morphological filters in simplicial complexes The aim of the PhD is to improve the quality of the document images by rectifying as much as possible the various consequences of noise, which appear either at pixel level (white noise, locally low contrast, blotting effect of the paper), or at character level (ink default, paper defect, broken characters). Page level defects other than white noise (e.g., rotation, uneven feeding of paper when using roll scanners), however, need not be addressed. We propose to design a morphological and topological filtering method that operates within the framework of greylevel simplicial complexes. Our idea is to process images at subpixel level only, and to refrain from binarizing it. When processing printed text, the method aims to provide an image with characters as close as possible to the ground truth (without it be possible, however, to formally state its performance, since the commercial OCR FineReader will be used as a black box in the real processing chain). When coping with handwritten text, the method shall compute, word by word, a filtered skeleton of these words that will be used as input to feed an HCR. In both cases, formal performances of the filtering method will be established based on the specifications of a public OCR and HCR, and proped up with experimental validations using FineReader and DocumentReader in the framework of the project.

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Contact address : ESIEE Paris Cité Descartes 2 bd Blaise Pascal 93162 Noisy-le-Grand FRANCE
Keywords : document,image,analysis,filtering,mathematical morphology
Your Name : Xavier HILAIRE
Email : x.hilaire@esiee.fr

Scholarship Tags: complexes, Computer, document, Enhancement, France, Image, morphological, simplicial, topological, using