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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
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Total Reviewer : 805
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| Paper Title: | Automated OCR-Based PAN Card Text Extraction System |
| Authors Name: | MURALIDHARAN.S , KRISHNA SAI RAM.R , NARENDRANAATH S.R , Mrs.Prema.V |
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IJRTI_201207
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| Published Paper Id: | IJRTI2503107 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | |
| Abstract: | Automated OCR-Based PAN Card Text Extraction System is proposed to automate and digitize the process of extracting text data from Indian Government-issued PAN cards. Using Optical Character Recognition (OCR) technologies such as PyTesseract, Google Vision API, OCR.Space API, and Support Vector Machines (SVM), the system improves text extraction accuracy while maintaining data integrity. Higher-level image preprocessing methods, including deskewing, noise reduction, and adaptive thresholding, dramatically enhance OCR accuracy, even with poor-quality images. The retrieved data are organized in JSON and exportable to CSV, making integration with banking, government agencies, and automated documentation workflows straightforward. The system dramatically decreases manual entry, reduces errors, and speeds up verification processes, highlighting its applicability to wider identity document digitalization. Also, this study examines the comparative performance of different OCR engines and sheds light on preprocessing as a necessary step to increase OCR accuracy. The system finds its application in identity authentication, financial transactions, and legal records, and as such, can be a key component of future digitization. Future research will investigate deep learning-based OCR upgrades and cross-platform support to extend its robustness and scalability even further. This work adds to the expanding field of document automation through a solution that is efficient and scalable enough for identity document digitization. |
| Keywords: | OCR, PAN Card, Text Extraction, PyTesseract, Google Vision API, OCR.Space API, Image Preprocessing |
| Cite Article: | "Automated OCR-Based PAN Card Text Extraction System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b47-b53, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503107.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2503107
Registration ID:201207
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier):
Page No: b47-b53 Country: Chengalpattu, Tamil Nadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503107 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503107 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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