OCR based Cheque Validation using Image Processing

• Published in: 2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) pp. 1 - 5
• Main Authors: Kunekar, Pankaj, Vayadande, Kuldeep, Kulkarni, Onkar, Ingale, Kunal, Kadam, Rutik, Inamdar, Shantanu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 20-01-2023
• Subjects: Automation; Data mining; EasyOCR; Image processing; Image segmentation; KNN; Libraries; Manuals; Optical character recognition; Optical character recognition (OCR); SIFT
• DOI: 10.1109/ICNTE56631.2023.10146687

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.