A Survey of Handwritten Character Recognition with MNIST and EMNIST
作者： Alejandro Baldominos , Yago Saez , Pedro Isasi
DOI: 10.3390/APP9153169
关键词:
摘要: This paper summarizes the top state-of-the-art contributions reported on the MNIST dataset for handwritten digit recognition. This dataset has been extensively used to validate novel techniques in computer vision, and in recent years, many authors have explored the performance of convolutional neural networks (CNNs) and other deep learning techniques over this dataset. To the best of our knowledge, this paper is the first exhaustive and updated review of this dataset; there are some online rankings, but they are outdated, and most …
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