Results 131 to 140 of about 34,020 (164)
Some of the next articles are maybe not open access.
1988
This paper presents a method for the recognition of multi-fonts Arabic texts entered from a scanner (300 dpi). The technique for the recognition presents the following steps: digitization, line sparation, word separation, segmentation of a word into characters, indentification of each character and finally recognition of the word.
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This paper presents a method for the recognition of multi-fonts Arabic texts entered from a scanner (300 dpi). The technique for the recognition presents the following steps: digitization, line sparation, word separation, segmentation of a word into characters, indentification of each character and finally recognition of the word.
openaire +1 more source
Sensor Review, 1993
For many years the philosophy of machines reading data from paper into computers, known as Optical Character Recognition or OCR, has been regarded by the unenlightened as a dream which will be wonderful when it happens. OCR has, unfortunately, been an insufficiently publicized reality for 25 years.
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For many years the philosophy of machines reading data from paper into computers, known as Optical Character Recognition or OCR, has been regarded by the unenlightened as a dream which will be wonderful when it happens. OCR has, unfortunately, been an insufficiently publicized reality for 25 years.
openaire +1 more source
Analysis of Recent Deep Learning Techniques for Arabic Handwritten-Text OCR and Post-OCR Correction
Applied Sciences (Switzerland), 2023Safiullah Faizullah, Rayyan Najam
exaly
COME: Clip-OCR and Master ObjEct for text image captioning
Image and Vision Computing, 2023Fudong Nian, Maofei Zhu
exaly
A Survey of OCR in Arabic Language: Applications, Techniques, and Challenges
Applied Sciences (Switzerland), 2023Muhammad Sohaib Ayub, , Sajid Hussain
exaly
Comparison of Tesseract OCR, Easy OCR, and Transformer OCR on Handwritten Image
2025 9th International Conference On Electrical, Electronics And Information Engineering (ICEEIE)Kartika Candra Kirana +5 more
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Printed Persian OCR system using deep learning
IET Image Processing, 2020Mansoor Fateh +2 more
exaly

