OCR based Cheque Validation using Image Processing

Pankaj Kunekar, K. Vayadande, O.S. Kulkarni, Kunal Ingale, Rutik Kadam, Shantanu Inamdar
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Abstract

Online transactions of money are so much comfortable and time saving. Instead, banks continue to use the manual handling of bank checks which is the normal practice. This procedure can take several days for the money to transfer. In this project, we proposed a system that validates the cheque by retrieving details like the Payee name, Amount (in words as well as in digits), date, and bank details using optical character recognition (OCR) it also does verification of the signature on cheque and cross checks it with the image stored in the database. The proposed system uses OpenCV for image processing and segmentation of bank cheque. This system uses EasyOCR for extracting text from the image whereas a custom dataset is used to test this system and get the result. The performance and efficiency are measured on the self-generated dataset of bank cheque.
基于OCR的支票图像验证
网上货币交易是如此的舒适和节省时间。相反,银行继续使用人工处理银行支票,这是正常的做法。这一过程可能需要几天的时间才能完成。在这个项目中,我们提出了一个系统,它通过使用光学字符识别(OCR)检索诸如收款人姓名、金额(以文字和数字表示)、日期和银行详细信息等详细信息来验证支票,它还验证支票上的签名并将其与存储在数据库中的图像进行交叉检查。该系统采用OpenCV对银行支票进行图像处理和分割。该系统使用EasyOCR从图像中提取文本,并使用自定义数据集对该系统进行测试并获得结果。在自生成的银行支票数据集上测量了性能和效率。
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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