ATTESTA, an Image Processing Application Android Mobile Application
Keywords:
Computer vision, Neural Network, Optical Character Recognition, Attestation, Automation.Abstract
Today's most commercial workplaces follow manual verification of any Id proof documents which are attached for attestation purposes. Handwritten text recognition is possible with the help of OCR technology. The main goal is to build a system that reduces the manual data scrapping job of an organization that mimics the functionality of the Google Lens System. Our system allows people in the commercial departmental territory to assistin their task of collection & verification of proof documents using computer vision technology. With Optical Character Recognition and neural network technology, businesses can automate the process.Steps to follows: [scan-attend-read-validate] Extracting text from custom form bitmap and original Identification card bitmap documents, notify if there is an Anomaly. Our proposed model is potentially suitable to be deployed in commercial large-scale businesses to classify the documents.
References
- Optical character recognition (OCR), EXPLAINTHATSTUFF, Chris Woodford, May 11, 2021
- Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning, DropBox, Brad Neuberg, Apr 12, 2017
- ML Kit Text Recognition API
- An Artificial Intelligence Based Approach to Automate Document Processing in Business Area, Ta Hang Chen, Massachusetts Institute Of Technology, June 2021
- Document AI: Benchmarks, Models And Applications, Lei Cui, Yiheng Xu, TengchaoLv, Furu Wei, Microsoft Research Asia, 16 Nov 2021
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