文档介绍：Opto-Electronic Engineering Article
光电工程rithm for recognizing rotational VIN im-
ages based on neural network which incorporates two components: VIN detection and VIN recognition. Firstly, with
lightweight neural network and text segmentation based on EAST, we attain efficient and excellent VIN detection
performance. Secondly, the VIN recognition is regarded as a sequence classification problem. By means of con-
necting sequential classifiers, we predict VIN characters directly and precisely. For validating our algorithm, we col-
lect a VIN dataset, which contains raw rotational VIN images and horizontal VIN images. Experimental results show
that the algorithm we proposed achieves good performance on VIN detection and VIN recognition in real time.
Keywords: vehicle identification number; neural network; text segmentation; machine vision
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收稿日期：2020-03-20；收到修改稿日期：2020-06-28
基金项目：安徽省 2018 年度重点研究与开发计划项目(1804a09020049)
作者简介：孟凡俊(1994-)，男，硕士研究生，主要从事图像处理的研究。E-mail：******@
通信作者：尹东(1965-)，男，副教授，主要从事图像处理的研究。E-mail：******@
版权所有○C 2021 中国科学院光电技术研究所
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万方数据光电工程 /