Automatic CNN-Based Arabic Numeral Spotting and Handwritten Digit Recognition by Using Deep Transfer Learning in Ottoman Population Registers

Yekta Said Can; M. Erdem Kabadayı

doi:10.3390/app10165430

Automatic CNN-Based Arabic Numeral Spotting and Handwritten Digit Recognition by Using Deep Transfer Learning in Ottoman Population Registers

Yekta Said Can
, M. Erdem Kabadayı

Koc University

Research output: Contribution to journal › Journal article › Research › peer-review

Original language	English
Journal	Applied Sciences
ISSN	2076-3417
DOIs	https://doi.org/10.3390/app10165430
Publication status	Published - 6. Aug 2020
Externally published	Yes

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10.3390/app10165430

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@article{129cf7f787ee451697ad8a4586d17ee9,

title = "Automatic CNN-Based Arabic Numeral Spotting and Handwritten Digit Recognition by Using Deep Transfer Learning in Ottoman Population Registers",

author = "Can, \{Yekta Said\} and Kabadayı, \{M. Erdem\}",

year = "2020",

month = aug,

day = "6",

doi = "10.3390/app10165430",

language = "English",

journal = "Applied Sciences",

issn = "2076-3417",

publisher = "MDPI",

}

TY - JOUR

T1 - Automatic CNN-Based Arabic Numeral Spotting and Handwritten Digit Recognition by Using Deep Transfer Learning in Ottoman Population Registers

AU - Can, Yekta Said

AU - Kabadayı, M. Erdem

PY - 2020/8/6

Y1 - 2020/8/6

UR - https://doi.org/10.3390/app10165430

U2 - 10.3390/app10165430

DO - 10.3390/app10165430

M3 - Journal article

SN - 2076-3417

JO - Applied Sciences

JF - Applied Sciences

ER -

Automatic CNN-Based Arabic Numeral Spotting and Handwritten Digit Recognition by Using Deep Transfer Learning in Ottoman Population Registers

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SDU Link

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