Matches in SemOpenAlex for { <https://semopenalex.org/work/W2223363477> ?p ?o ?g. }
- W2223363477 abstract "In this paper, Slavonic manuscripts from the 11thcentury written in Glagolitic script areinvestigated. State-of-the-art optical character recognition methods produce poor resultsfor degraded handwritten document images. This is largely due to a lack of suitableresults from basic pre-processing steps such as binarization and image segmentation.Therefore, a new, binarization-free approach will be presented that is independent ofpre-processing deficiencies. It additionally incorporates local information in order torecognize also fragmented or faded characters. The proposed algorithm consists oftwo steps: character classification and character localization. Firstly scale invariantfeature transform features are extracted and classified using support vector machines.On this basis interest points are clustered according to their spatial information. Then,characters are localized and eventually recognized by a weighted voting scheme ofpre-classified local descriptors. Preliminary results show that the proposed system canhandle highly degraded manuscript images with background noise, e.g. stains, tears,and faded characters." @default.
- W2223363477 created "2016-06-24" @default.
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- W2223363477 date "2011-01-01" @default.
- W2223363477 modified "2023-09-27" @default.
- W2223363477 title "Recognizing Degraded Handwritten Characters" @default.
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