5 citations · 5 across the 2 of their papers we have counts for
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cs.CV2022★ 5 cited
Omnifont Persian OCR System Using Primitives
Azarakhsh Keipour, Mohammad Eshghi, Sina Mohammadzadeh Ghadikolaei +2
In this paper, we introduce a model-based omnifont Persian OCR system. The system uses a set of 8 primitive elements as structural features for recognition. First, the scanned docu…
cs.CV2017
Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project
Mohammad Eshghi, Holger R. Roth, Masahiro Oda +2
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 N…