Web: http://arxiv.org/abs/2201.10102

Jan. 26, 2022, 2:11 a.m. | Md. Ferdous Wahid, Md. Fahim Shahriar, Md. Shohanur Islam Sobuj

cs.LG updates on arXiv.org arxiv.org

Bangla Handwritten Digit recognition is a significant step forward in the
development of Bangla OCR. However, intricate shape, structural likeness and
distinctive composition style of Bangla digits makes it relatively challenging
to distinguish. Thus, in this paper, we benchmarked four rigorous classifiers
to recognize Bangla Handwritten Digit: K-Nearest Neighbor (KNN), Support Vector
Machine (SVM), Random Forest (RF), and Gradient-Boosted Decision Trees (GBDT)
based on three handcrafted feature extraction techniques: Histogram of Oriented
Gradients (HOG), Local Binary Pattern (LBP), and Gabor …

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