有效地提取了印度政府颁发的Aadhar和Pan卡文件的信息

Rachna Tewani, Achin Jain, Eshika Agarwal, Disha Mittal, A. Dubey
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引用次数: 0

摘要

当今世界,一切都在走向数字化,并广泛使用数据扫描工具和摄影技术。当我们拥有大量图像数据时,将数据以一种对公司/组织有用的形式积累起来就变得非常重要。手动操作是一项乏味的任务,并且需要大量的时间。因此,为了简化工作,我们开发了一个FLASK API,它将图像文件夹作为对象,并从图像数据中返回相关数据的excel表格。我们使用光学字符识别和pytesseract等软件从图像中提取数据。在此过程中,我们进一步使用了自然语言处理,最后,我们使用global和regex模块找到了相关数据。该模型有助于从登记证中收集数据,帮助我们轻松存储底盘号码,车主姓名,车号等数据,并可应用于Aadhaar卡和pan卡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient extraction of information from Indian Government issued documents Aadhar and Pan Card
In today's world, everything is getting digitized, and widespread use of data scanning tools and photography. When we have a lot of image data, it becomes important to accumulate data in a form that is useful for the company/organization. Doing it manually is a tedious task and takes an ample amount of time. Hence to simplify the job, we have developed a FLASK API that takes an image folder as an object and returns an excel sheet of relevant data from the image data. We have used optical character recognition and software like pytesseract to extract data from images. Further in the process, we have used natural language processing, and finally, we have found relevant data using the globe and regex module. This model is helpful in data collection from Registration certificates which helps us store data like chassis number, owner name, car number, etc., easily and can be applied to Aadhaar cards and pan cards.
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