Edge-SiamNet and Edge-TripleNet: New Deep Learning Models for Handwritten Numeral Recognition

Weiwei JIANG  Le ZHANG  

IEICE TRANSACTIONS on Information and Systems   Vol.E103-D   No.3   pp.720-723
Publication Date: 2020/03/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2019EDL8199
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
deep learning,  handwritten numeral recognition,  convolutional neural network,  

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Handwritten numeral recognition is a classical and important task in the computer vision area. We propose two novel deep learning models for this task, which combine the edge extraction method and Siamese/Triple network structures. We evaluate the models on seven handwritten numeral datasets and the results demonstrate both the simplicity and effectiveness of our models, comparing to baseline methods.