Handwritten Digit Recognition Using Machine Learning
Yıl: 2021 Cilt: 25 Sayı: 1 Sayfa Aralığı: 65 - 71 Metin Dili: İngilizce DOI: 10.16984/saufenbilder.801684 İndeks Tarihi: 10-06-2021
Handwritten Digit Recognition Using Machine Learning
Öz: Technology is getting more and more involved in our lives, and so are algorithms. Thesealgorithms speed up work and reduce workload. Especially machine learning algorithms areimproving day by day by imitating human behaviours. Handwriting recognition systems arealso stand out on this field. In this study, handwriting digit recognition process has been donewith algorithms having different working methods. These algorithms are Support VectorMachine (SVM), Decision Tree, Random Forest, Artificial Neural Networks (ANN), K-NearestNeighbor (KNN) and K- Means Algorithm. The working logic of the handwriting digitrecognition process was examined, and the efficiency of different algorithms on the samedatabase was measured. A report was presented by making comparisons on the accuracy.
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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| APA | Karakaya R, Çakar S (2021). Handwritten Digit Recognition Using Machine Learning. , 65 - 71. 10.16984/saufenbilder.801684 |
| Chicago | Karakaya Rabia,Çakar Serap Handwritten Digit Recognition Using Machine Learning. (2021): 65 - 71. 10.16984/saufenbilder.801684 |
| MLA | Karakaya Rabia,Çakar Serap Handwritten Digit Recognition Using Machine Learning. , 2021, ss.65 - 71. 10.16984/saufenbilder.801684 |
| AMA | Karakaya R,Çakar S Handwritten Digit Recognition Using Machine Learning. . 2021; 65 - 71. 10.16984/saufenbilder.801684 |
| Vancouver | Karakaya R,Çakar S Handwritten Digit Recognition Using Machine Learning. . 2021; 65 - 71. 10.16984/saufenbilder.801684 |
| IEEE | Karakaya R,Çakar S "Handwritten Digit Recognition Using Machine Learning." , ss.65 - 71, 2021. 10.16984/saufenbilder.801684 |
| ISNAD | Karakaya, Rabia - Çakar, Serap. "Handwritten Digit Recognition Using Machine Learning". (2021), 65-71. https://doi.org/10.16984/saufenbilder.801684 |
| APA | Karakaya R, Çakar S (2021). Handwritten Digit Recognition Using Machine Learning. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 25(1), 65 - 71. 10.16984/saufenbilder.801684 |
| Chicago | Karakaya Rabia,Çakar Serap Handwritten Digit Recognition Using Machine Learning. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi 25, no.1 (2021): 65 - 71. 10.16984/saufenbilder.801684 |
| MLA | Karakaya Rabia,Çakar Serap Handwritten Digit Recognition Using Machine Learning. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol.25, no.1, 2021, ss.65 - 71. 10.16984/saufenbilder.801684 |
| AMA | Karakaya R,Çakar S Handwritten Digit Recognition Using Machine Learning. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2021; 25(1): 65 - 71. 10.16984/saufenbilder.801684 |
| Vancouver | Karakaya R,Çakar S Handwritten Digit Recognition Using Machine Learning. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2021; 25(1): 65 - 71. 10.16984/saufenbilder.801684 |
| IEEE | Karakaya R,Çakar S "Handwritten Digit Recognition Using Machine Learning." Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 25, ss.65 - 71, 2021. 10.16984/saufenbilder.801684 |
| ISNAD | Karakaya, Rabia - Çakar, Serap. "Handwritten Digit Recognition Using Machine Learning". Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi 25/1 (2021), 65-71. https://doi.org/10.16984/saufenbilder.801684 |
