Handwriting Recognition, a Comprehensive Review

سال انتشار: 1398
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 597

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شناسه ملی سند علمی:

ITCT06_016

تاریخ نمایه سازی: 24 شهریور 1398

چکیده مقاله:

In this paper, we review classic handwriting recognition processes and controversial issues by details. In addition, since there are presented the state of the art approaches based on neural networks solutions, we review RNN approaches. Furthermore, as the database is an important factor in RNN based solutions, we survey the most important datasets for the left to right and right to left writing languages. In the following, we have presented a systematic survey of some important datasets applications and most important presented handwriting recognition approaches.

نویسندگان

Maedeh Haji Agha Mohseni

Electrical and Computer Department at Iran Islamic Azad university, Tehran North Branch

Reza Azmi,

Computer Engineering Department at Alzahra University

Kamran Layeghi

Faculty of Electrical & Computer Engineering at Iran Islamic Azad university, Tehran North Branch

Sajad Maleki

Electrical and Computer Department at Iran Islamic Azad university, Tehran North Branch