Combination of Auto-encoder architecture and super resolution for better segmentation of thinned and cursive handwritten documents

In neural networks an auto-encoder architecture has several applications such as image denoising, feature reduction, data compression, image colorization, dimensanality reduction, segmentation and so on. Super-resolution is used to upgrade the low resolution images into high resolution. In order to...

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Veröffentlicht in:	Journal of physics. Conference series 2022-03, Vol.2236 (1), p.12007
Hauptverfasser:	MP, Ayyoob, Ilyas.P, Muhamed
Format:	Artikel
Sprache:	eng
Schlagworte:	Coders Data compression Handwriting Image compression Image resolution Image segmentation Neural networks Physics Reduction
Online-Zugang:	Volltext
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