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Edge-SiamNet and Edge-TripleNet: New Deep Learning Models for Handwritten Numeral Recognition
Weiwei JIANG Le ZHANG
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2020/03/01
Online ISSN: 1745-1361
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.