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Image Text Recognition
Reading or Recognizing Text from Images is a challenging Task in the field of Computer Vision. This is mainly because Text in Images exhibit diversity and variability. Backgrounds of Images are…
Read more at Analytics Vidhya | Find similar documentsMachine Learning for Documents
Photo by Romain Dancre on Unsplash Documents carry the essential source of vital information. Much of the structured and unstructured information of the enterprises is available as Documents. These ar...
Read more at Towards AI | Find similar documentsDocument Parsing with Python & OCR
Detect and extract text, figures, tables from any type of document with Computer Vision. “Document Parsing with Python & OCR” is published by Mauro Di Pietro in Towards Data Science.
Read more at Towards Data Science | Find similar documentsObject Detection — Document Layout Analysis Using Monk AI
Article on how Object Detection can help us in predicting various regions of a document. Useful in cropping out headlines, paragraphs, etc. from an image.
Read more at Towards AI | Find similar documentsTable Detection and Text Extraction
Given a image including random text and a table, extracting data from only the table is the objective. This is what worked out for me after trying out several different approaches from the docs as…
Read more at Analytics Vidhya | Find similar documentsInvoice Information extraction using OCR and Deep Learning
Document information extraction is considered as a major challenge in computer vision and involves a combination of object classification and object localization within a scene. The advent of modern…
Read more at Analytics Vidhya | Find similar documentsScene Text Detection, Recognition and Translation.
Reading text in natural images has attracted increasing attention in the computer vision community due to its numerous practical applications in document analysis, scene understanding, robot…
Read more at Analytics Vidhya | Find similar documentsDocument feature extraction and classification
Every classification problem in natural language processing (NLP) is broadly categorized as a document or a token level classification task.This is first of a two part blog on how to implement all…
Read more at Towards Data Science | Find similar documentsScanned Document Classification using Computer Vision
In the era of digital economy, sectors like Banking, Insurance, Governance, Medical and Legal sectors still deal with various handwritten notes and scanned documents. In later parts of the business…
Read more at Towards Data Science | Find similar documentsPaper Synopsis: Unstructured Document Recognition on Business Invoice
A Bag-of-Word approach taking account of textual and layout information for business invoice recognition. Models namely (Naive Bayes, Logistic Regression and SVM) are considered. be seen from Fig…
Read more at Analytics Vidhya | Find similar documentsTesseract OCR for Text Localisation and Detection
Optical character recognition (“OCR”) systems have been widely used to provide automated text entry into computerised systems. However, the inability of conventional OCR systems to read more than a…
Read more at Towards AI | Find similar documentsFine-Tuning OCR-Free Donut Model for Invoice Recognition
Intelligent document processing (IDP) is the ability to automatically understand the content and structure of documents. This is a critical capability for any organization that needs to process a…
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