Search Results for author: Mohammad Eshghi

Found 2 papers, 0 papers with code

Omnifont Persian OCR System Using Primitives

no code implementations13 Feb 2022 Azarakhsh Keipour, Mohammad Eshghi, Sina Mohammadzadeh Ghadikolaei, Negin Mohammadi, Shahab Ensafi

After recognition of dots in sub-words, strokes are extracted and primitive elements of each sub-word are recognized using the strokes.

Optical Character Recognition (OCR)

Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project

no code implementations15 Mar 2017 Mohammad Eshghi, Holger R. Roth, Masahiro Oda, Min Suk Chung, Kensaku MORI

This paper presents an end-to-end pixelwise fully automated segmentation of the head sectioned images of the Visible Korean Human (VKH) project based on Deep Convolutional Neural Networks (DCNNs).

Segmentation Semantic Segmentation

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