Kainovation Technologies

Key Information Extractor For Sri Lankan Passport 🛂

July 19, 2024

Sri Lankan Passport

In today’s fast-paced digital landscape, efficiently extracting information from official documents is crucial. The AI-Powered Passport Information Extractor is a cutting-edge tool designed to meet this need with high precision. This innovative tool leverages advanced technologies such as Optical Character Recognition (OCR) and Natural Language Processing (NLP) to seamlessly process passport documents.

By automating the extraction process, it significantly enhances data accuracy and reduces the time and effort required for manual data entry. This tool revolutionizes the handling of essential passport information by ensuring swift, reliable, and accurate extraction of key details. The technical innovations driving its success make it an indispensable asset for organizations needing to process large volumes of passport data efficiently.

 

Passport Information Extractor

Passport Information Extractor! This tool is designed to make extracting essential information from a passport image quick and efficient by leveraging advanced OCR (Optical Character Recognition) technology, powerful regular expressions (RegEx), and the PassportEye python library for MRZ (Machine Readable Zone) data extraction. Whether you need to digitize passport details for record-keeping, administrative purposes, or verification processes, our extractor streamlines the workflow, ensuring accuracy and ease of use.

MRZ Code Highlighted In Green

How It Works💡

Using the Passport Information Extractor is straightforward and user-friendly. Here’s a step-by-step guide to getting started:

  1. Upload an Image: Begin by uploading an image of the passport. The tool supports common image formats such as JPG, JPEG, and PNG.
  2. Process the Image: Once the image is uploaded, our system processes it to extract text data using the OCR engine. This robust OCR tool ensures accurate recognition of text from the image.
  3. Extract MRZ Data: The Machine Readable Zone (MRZ) data is extracted using the PassportEye library. This includes key details such as Names, Surname, Country Code, Country, National Identification Card Number (NIC), Passport Number, Date of Birth, Expiration Date, Issue Date, Gender, Type, MRZ Code
  4.  Edit and Submit: The extracted information is automatically detected and populated into a dedicated form. You can review, edit, and confirm the extracted details through an interactive form. This ensures that all information is accurate before final submission.

Features🪄

  • Accurate OCR Processing: Utilizing Tesseract OCR, an open-source OCR tool known for its versatility and high performance.
  • MRZ Precision: The use of MRZ processing with PassportEye enhances the tool’s ability to accurately identify and extract specific information from the OCR text.
  • User-Friendly Interface: The intuitive interface makes it easy for anyone to use the extractor without technical expertise.
  • Editable Form: After extraction, details are presented in an editable form, allowing for quick adjustments and corrections.

Key Technologies Used 🔧

The Passport Data Extractor is built using a combination of advanced technologies to ensure accurate and efficient extraction of information from passport images. Below are the key technologies utilized in this project:

1. Streamlit

Streamlit is a powerful, easy-to-use framework for creating interactive web applications using Python. It allows for rapid development and deployment of data-driven applications. In this project, Streamlit is used to create a user-friendly interface for uploading passport images and displaying the extracted information.

2. Optical Character Recognition (OCR)

  • Tesseract OCR: For extracting MRZ data from passports, we use Tesseract OCR, an open-source OCR tool known for its versatility and high performance. It integrates seamlessly with the PassportEye library to accurately read and parse MRZ codes from passport images.
  • PaddleOCR: For additional text extraction needs, PaddleOCR is used. This open-source OCR tool, developed by Baidu, is known for its high performance and accuracy in extracting text from various document images.

3. Image Processing

Pillow (PIL): the Python Imaging Library, is essential in the Passport Information Extractor, allowing the opening, manipulation, and saving of various image formats like JPEG and PNG. It preprocesses the uploaded driving license images by converting, resizing, and enhancing them to ensure they are in optimal condition for accurate OCR processing. This ensures compatibility and improves the accuracy of the text extraction by the OCR engine

NumPy: NumPy is a fundamental package for scientific computing in Python. It is used for efficient manipulation of image data as arrays, which is necessary for image processing tasks. In this project, NumPy is used to convert images into an array format suitable for processing by OCR.

4. Machine-Readable Zone (MRZ) Processing

PassportEye: An open-source Python library specifically designed to read and parse MRZ data from passport images. It utilizes Tesseract OCR to extract MRZ codes, accurately identifying and extracting essential information from the MRZ section of passports.

5. User Interface Components

Streamlit Widgets: Various Streamlit widgets, such as file uploaders, text inputs, and forms, are used to create an interactive and user-friendly interface. They enable users to effortlessly upload passport images, view extracted text, and edit or confirm details with simplicity. These widgets streamline the interaction process, providing an intuitive platform for managing and validating passport information efficiently.

6. Data Handling

Python Dictionaries: Python dictionaries are used to store and organize the extracted information. This structure allows for easy access and manipulation of the data, making it simple to display and edit the extracted details within the Streamlit interface.

By integrating these technologies, The Passport Information Extractor provides a seamless and efficient solution for extracting key information from passport images.

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