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Handwritten digit recognition based on segmentation-free method

This thesis aims to implement a segmentation-free strategy in the context of handwritten multi-digit string recognition. Three models namely VGG-16, CRNN and 4C are built to be evaluated and benchmarked, also research about the effect of the different training set on model performance is carried out.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-20685
Date January 2020
CreatorsZhao, Mengqiao
PublisherBlekinge Tekniska Högskola, Institutionen för datavetenskap
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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