Piles of paper documents of old records are sitting in government archives. As these fragile relics are digitized for preservation, a new challenge emerges – the problem of noise. Faded ink, stains, creases, and other imperfections that accumulate over time create the scanned version of them unreadable many times.
While there exists a semi-automated method to remove this noise, it’s a laborious and time-consuming process, particularly when dealing with millions of documents. However, the development of an AI model that effortlessly and efficiently cleans the noise, brings these archives back to life.
The Challenge of Scale: A Semi-Automated Solution
The existing semi-automated approach involves meticulous manual efforts to identify and remove noise from scanned documents. Human experts painstakingly sift through each page, delicately retouching and restoring the content. However, when confronted with mountains of documents, this process transforms into an overwhelming task. It demands extensive time, resources, and human effort – a challenge that calls for an innovative solution.
AI is The Solution
The development of an AI-powered model presented a quantum leap in the domain of document restoration. Deep learning, particularly Convolutional Neural Networks (CNNs), offers an ingenious solution that leverages the power of technology to achieve unparalleled results.
The Marvel of the Model: Effortless Excellence
The following process of noise removal from scanned documents using the AI model unfolded with remarkable precision
Dataset Creation: A comprehensive dataset encompassing both noisy and clean versions of scanned documents was curated. This dataset became the training ground for the model.
Model Training: Through iterative training, the model became an expert in deciphering noise patterns and distinguishing them from the original content.
Feature Extraction: The model extracted intricate features from images, honing their ability to pinpoint noise and content with exceptional accuracy.
Efficient Noise Removal: Armed with its acquired expertise, the model elegantly and effortlessly suppresses noise, revealing the underlying brilliance of the document without altering its essence.
Achieving Remarkable Results: A Glimpse into the Future
The output of this model is nothing short of transformative. The documents, once masked by the shroud of noise, emerge as vibrant, free from the imperfections of time.
Efficiency Meets Excellence: The AI-Powered Revolution
The success of the AI-based noise removal model presents a revolutionary leap in document restoration. With an unparalleled blend of efficiency and accuracy, it paves the way for digitizing archives on an unprecedented scale. The humungous task of restoring millions of documents is now achievable with ease.
Connect with us (kishore.kulkarni@nxtechworks.com) if you want to try and use our AI-enabled Scanned Document Cleaning tool for your specific needs.