一种拓扑结构构建方法及其在离线手写数字识别中的应用

Huichuan Duan, Jinwei Yang, Xiyu Liu, Hong Liu
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引用次数: 2

摘要

为了寻找一种合适的特征提取方法,使类笔式智能扫描仪扫描和识别手写数字,作者提出了一种拓扑结构构建方法来帮助提取用于识别的特征。与大多数特征提取方法仅仅关注构成数字视觉图像的像素不同,本文提出的方法尝试了一个不同的方向,即在图像中添加一些像素行,并对新形成的图像中的拓扑结构进行计数。实验结果表明,在合适的分类树的帮助下,对于从学生作业中收集的样本,9个特征足以达到93.5%的识别率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Topological Structure Construction Approach and its Application in Off-line Handwritten Digit Recognition
In searching for an adequate feature extraction approach for pen-like smart scanners to scan and recognize handwritten digits, the authors propose a topological structure construction approach to help extracting features served for recognition. Unlike most of the feature extraction approaches that simply focus on the pixels constituting the visual images of digits, the proposed approach tries in a different direction, that is, adding some lines of pixels to the images and counting the topological structures in the newly formed images. Experimental results show that for samples collected from students' assignments, 9 features is enough for a 93.5% recognition rate, with the help of a suitable classification tree.
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