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text-detection-for-documents

Image Text Recognition

 Analytics Vidhya

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…

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Machine Learning for Documents

 Towards AI

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...

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Document Parsing with Python & OCR

 Towards Data Science

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.

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Object Detection — Document Layout Analysis Using Monk AI

 Towards 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.

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Table Detection and Text Extraction

 Analytics Vidhya

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…

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Invoice Information extraction using OCR and Deep Learning

 Analytics Vidhya

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…

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Scene Text Detection, Recognition and Translation.

 Analytics Vidhya

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…

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Document feature extraction and classification

 Towards Data Science

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…

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Scanned Document Classification using Computer Vision

 Towards Data Science

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…

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Paper Synopsis: Unstructured Document Recognition on Business Invoice

 Analytics Vidhya

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…

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Tesseract OCR for Text Localisation and Detection

 Towards AI

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…

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Fine-Tuning OCR-Free Donut Model for Invoice Recognition

 Towards Data Science

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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