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Which is the best opensource library for text detect detection from images?
I think you are looking for Optical character recognition s . Listing the best ones out there. Also I suggest you to go with OCR APIs keeping your app pretty light weight. Tesseract s(software) seems to be a pretty good choice one of the best OCR engines. Fork from github here s . It has a python wrapper pyocr s Best Free OCR API & Online OCR Service s . Using API would be a pretty good choice as all the heavy lifting would be done by an external service. OCR Software from ABBYY. s This one is pretty good. They have an OCR engine and not library. Vision API - Image Content Analysis s by Google Cloud Platform I loved this one. Here aparison of of available OCR libraries Comparison of optical character recognition software s
How do I automate text recognition (OCR) for thousands of PDFs?
In order to automate recognition for extracting data from multiple PDFs ones needs to employ abination ofputer vision and machine learning so that the solution scans through these documents & understands the patterns and variations with high accuracy. Infrrd specialized OCR tool does this effectively in these following steps Preprocessing This involves multiple steps some of the essential ones are outlined below Enhancement Based on the PDF condition the solution tries to enhance the quality and remove background noise. 1 Processing The OCR engine then extracts data from fields that can be customized based on requirements of the clients. So in case you are looking to streamline this entire process of data extraction get in touch with Infrrd OCR s product team or click here s for a free demo.
How can I implement machine learning algorithms in a web application?
From your question I inferred you are talking about online applications. Obviously there are other applications like standalone medical devices etc. that have a different story. Assuming that let's divide the problem into fourponents 1- You need a database. Your choice depends on different aspects but most important thing is size and speed of your data. For small sized problems a regular RDBMS will do the job. 2- You need aponent to build dynamic HTML pages. A typical web programming language like PHP will do that job. Your dynamics HTMLponent managesmunication with the database on front end. 3- You need a beautiful and easy to use front-end. The skills required are CSS Javascript and HTML. Thisponentmunicates to (and partially is generated by)ponent 2. 4- Finalponent is your ML engine. You can write it in any language but performance and of application are the most considerations. For large distributed applications your choicees down to Hadoop or Spark ecosystems. For mid-size data sets you can use Java and C++. If you have a small size data R and MATLAB can be used. Your ML-engine mightmunicate with the database directly (usually if it's a large application or involves online learning) or might not (if you have another mechanism to periodically extract data and update your ML-engine). The results of the ML-engine is the feed for your 2ndponent engine. Something among a typical relational database a file or JSON file ismon here. As you can see different skills are involved for a production web-based ML application. In enterprise level applications firstponent is performed by a data engineer second one by a software (web) developer third one by a graphic designer (UI engineer) and last one is the work of a data scientist. Please follow me if you like to hear more about data science and artificial intelligence.
How do I use PyTesser and Tesseract OCR in Ubuntu with Python?
tesseract-ocr It is an optical character reader as the name suggests it will try to read the characters from your input .n Tesseract installation n sudo apt-get install tesseract-ocr code pytesser and python-tesseract These are python wrapper classes that help you to use tesseract-ocr in your python program. PyTesser is for windows only and this project only reached to ..1 and abondoned since May 27 since you are on Ubuntu you aren't going to use it anyway. PIL Python Imaging Library it's not actively maintained and old so I suggest you to use Pillow which is an alternative to PIL. Both of these helps you manipulate with your to greyscale. code captcha = ('1') code code # Saving the to extract the characters in your terminaln $ python the_ (how it looks) the above code was a simple demonstration.
What is the most lucrative programming language to learn for a non-programmer?
You kind of asking two different questions here the most lucrative language is one thing; the language that leads to quickest employment is another.n nI will answer the second question first. I believe the fastest path to employment is SQL. Yes good old SQL. Despite proliferation of NoSQL technologies SQL remains a good bread winner. Also whichever language you choose from list already offered here (C Python and etc.) it is hard to imagine you can find employment knowing that language ALONE! Most usually an application talks to some kind of database on the backend and thus knowledge of databases IN ADDITION to any of these languages will be required. On the other hand knowledge of relational databases and SQL alone can land you a job of a junior database developer. This is something I am trying to convince my daughter to do learn SQL as it looks like her degree in literature does not get her anywhere. When and if she decided to learn SQL I believe I can teach her SQL in 2 to 3 months at the level allowing her to land a job at $3 to $35 Now the part where you are asking about most lucrative language got me thinking. One way to answer it would be to say that the most lucrative language is the one that you invent. If you can claim that you are father of XYZ language (assuming that language bes popular) you would put yourself on the level as James Gosling the inventor of Java or Brendan Eich inventor of Java Script or Go van Rossum the author of Python. Yes that is probably a long way to go for a non-programmer. The other way to answer part about lucrative is to look at the most successful programmers in financial terms. The riches man on earth who has ever called himself aputer programmer is Bill Gates. His big thing was BASIC and then Visual Basic. The second richest programmer is Mark Zuckerberg. Everything I read about him indicated that he programmed in BASIC and then in PHP. BASIC is themon thing between them is that the thing to learn? You make a call.
How can I use Tesseract OCR to extract Arabic language from image using python?
Well Ive used Tesseract to extract Hebrew from an .png .txt Where and .txt is your output file (taken from Rafie Tarabay user 9263642 Arabic OCR in Python ) Some tips File format matters - for example you need to convert PDF to tiff or png so that tesseract can read it. Font and size matter - Don know if you can change these but you should be aware of them. Experiment with these parameters and see which gives you the best OCR accuracy. ordered-list Happy OCRing!