Word Spotting in Cluttered Historical documents

Historical documents are essentially formed of handwritten texts that exhibit a variety of perceptual environment complexities.

ANNONSINFORMATION

Sista datum för anmälning: 2020-09-30

Företagsnamn: BTH

Mail till kontaktperson: abbas.cheddad@bth.se

Länk till företag: https://www.bth.se

Utbildningsnivå: Magister/Master

Utbildningsområde: Civilingenjörsutbildningar Datavetenskap och mjukvaruutveckling

Historical documents are essentially formed of handwritten texts that exhibit a variety of perceptual environment complexities. The cursive and connected nature of text lines on one hand and the presence of artefacts and noise on the other hand hinder achieving plausible results using current image processing algorithm. In this proposal, we would like to explore new algorithms which should allow for pattern spotting in scanned handwritten historical documents. The algorithms must be highly scalable to be able to process very large datasets (i.e.,Bigdata).

References
1. Cheddad, A.“Towards Query by Text Example for Pattern Spotting in Historical Documents.” 7th International Conference on Computer Science and Information Technology (CSIT’16),July13-14,2016,IEEE Computer Society.
2. Angelos P. Giotisetal. “A survey of document image word spotting techniques. ”Pattern Recognition, Volume 68, August 2017, Pages 310-332.

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