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Recognition of Online Turkish Handwriting using Transfer Learning
2023
Journal:  
Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji
Author:  
DOI:  
10.29109/gujsc.1141508
Abstract:

We present a recognition system for online Turkish handwriting using transfer learning. Training deep networks requires large amounts of data. Since such a sufficiently large collection of Turkish handwriting samples is not available, So we adopt the transfer learning approach and train and optimize a CNN-BLSTM recognition system first using the standard IAM-On dataset of English handwriting. Then, we fine tune it with Turkish handwriting samples from a smaller dataset. Fine tuning increases the character recognition rate of the final system which is evaluated on 2,041 samples of isolated Turkish words from the initial value of 49% to 85%. The results show that transfer learning can be a solution to the data scarcity problem of online Turkish handwriting.

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2023
Journal:  
Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji
Author:  
DOI:  
10.29109/gujsc.1141508
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Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji

Field :   Mühendislik

Journal Type :   Ulusal

Metrics
Article : 690
Cite : 1.530
2023 Impact : 0.057
Details
Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji