基于模板匹配的PAN卡文本识别方法

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI:10.1109/ICCCNT.2017.8204081

Abhay Ganjoo, Abhishek Dhyani

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引用次数: 0

摘要

计算机视觉中的物体识别是指检测视频或图像中的特定物体。计算机视觉是机器学习的一个分支，通过多种算法和范式使机器自动化整个过程，帮助我们实现目标。永久账户号码(PAN)是印度政府发给每个公民的10个字符的字母数字代码，特别是那些纳税人。本研究的目的是识别并提取PAN代码，从而实现手动重新输入的自动化过程。本文通过归一化互相关(NCC)方法下的模板匹配文本识别过程实现上述目标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Text recognition on PAN card using template matching method

Object recognition in computer vision refers to detecting a particular object in a video or an image. Computer vision being a branch of Machine Learning helps us to achieve a goal by making the machine automate the entire process through multiple algorithms and paradigms. PAN (Permanent Account Number) is a 10 character alpha-numeric code which is issued by Government of India to each of its citizen, especially those who are tax payee. The purpose of this research is to identify the PAN code and extract them so as to automate the process of retyping it manually. We achieve the above through text recognition process of template matching under Normalized Cross Correlation (NCC) method.

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2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)

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