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Want to do handwritten OCR? This blog is a comprehensive overview of the latest methods of handwritten text recognition using deep learning. We've reviewed the latest research and papers and have also built a handwriting reader from scratch. Nanonets OCR API has many interesting use cases. Talk to a Nanonets AI expert to learn more about handwritten text recognition. Introduction Optical Character
Published: May 19, 2021 ● Updated: Mar 21, 2024 IntroDeep learning has been very successful when working with images as data and is currently at a stage where it works better than humans on multiple use-cases. The most important problems that humans have been interested in solving with computer vision are image classification, object detection and segmentation in the increasing order of their diff
Extract and parse data from receipts accurately across currencies and languages. Transform receipts into digital data instantly.
The amount of data being collected is drastically increasing day-by-day with growing numbers of applications, software, and online platforms. To handle/access this humongous data productively, it’s necessary to develop valuable information extraction tools. One of the sub-areas that’s demanding attention in the Information Extraction field is the extraction of tables from images or the detection o
In this blog post, we will try to explain the technology behind the widely used Tesseract Engine, which was upgraded with the latest knowledge researched in optical character recognition. This article will also serve as a how-to guide/ tutorial on how to implement PDF OCR in python using the Tesseract engine. We will be walking through the following modules: Tesseract OCR FeaturesPreprocessing for
We live in times when any organization or company to scale and to stay relevant has to change how they look at technology and adapt to the changing landscapes swiftly. We already know how Google has digitized books. Or how Google earth is using NLP (or NER) to identify addresses. Or how it is possible to read text in digital documents like invoices, legal paperwork, etc. But how does it work exact
IntroductionWhile I do not like getting pulled over by cops any more than you do, I can't deny that having cameras that can track and count the vehicles passing by attached to traffic lights might just do some good for society. Computers are getting better everyday at thinking, analyzing situations and making decisions like humans do. Understanding vision is an integral part of this progress in th
OCR provides us with different ways to see an image, find and recognize the text in it. When we think about OCR, we inevitably think of lots of paperwork - bank cheques and legal documents, ID cards and street signs. In this blog post, we will try to predict the text present in number plate images. What we are dealing with is an optical character recognition library that leverages machine learning
Extract meaningful information from unstructured dataBreak down data barriers with Nanonets AI—extract valuable information from documents, emails, tickets or databases. Transform unstructured data across multiple sources into actionable insights. Automate complex business processes with AIAutomate even the most complex manual workflows with Nanonets' no-code platform. Our learnable decision engin
🚀 Nanonets is thrilled to announce $29 Million in Series B led by Accel.
Home Artificial Intelligence Data Augmentation | How to use Deep Learning when you have Limited Data — Part 2 This article is a comprehensive review of Data Augmentation techniques for Deep Learning, specific to images. This is Part 2 of How to use Deep Learning when you have Limited Data. Checkout Part 1 here. We have all been there. You have a stellar concept that can be implemented using a mach
Published: May 19, 2021 ● Updated: Mar 25, 2024 This article is a comprehensive overview including a step-by-step guide to implement a deep learning image segmentation model. We shared a new updated blog on Semantic Segmentation here: A 2021 guide to Semantic Segmentation Nowadays, semantic segmentation is one of the key problems in the field of computer vision. Looking at the big picture, semanti
Home Artificial Intelligence How to easily Detect Objects with Deep Learning on Raspberry Pi The real world poses challenges like having limited data and having tiny hardware like Mobile Phones and Raspberry Pis which can’t run complex Deep Learning models. This post demonstrates how you can do object detection using a Raspberry Pi. Like cars on a road, oranges in a fridge, signatures in a documen
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