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FAQ

Are Russians good in IT?
If by IT you mean what is usually meant by it i.e. the boring job of maintaining in-house information systems that serve the employer internal needs I wouldn know. This job is kind of trivial and doesn require strong technical skills to be good at. It requires good manners endless patience and rudimentary knowledge of technology. If you mean stuff likeputer science then yes I say Russians are good at it. Russians make the best system programmers for one so for that reason when I am to ask a question about the Linux kernel for example I prefer to ask in Russian language forums. As far as Russia aplishments go they speak for themselves too. Russia JetBrains pretty much owns the once verypetitive business of Integrated Development Environments or IDE (an IDE for a software developer is what an image editor is for an artist). That because a good IDE is a platform for which people write an ecosystem of plugins so good architecture is paramount and as a plugin writer for JetBrains I assure you the architecture of JetBrains lives to its name. So most of the software youve encountered (almost certainly Quora too) has been developed with Russia help. Kotlin board_item board_item_id 37386 is a programming language developed by the samepany JetBrains. It on the rise. It has all the cool modern language features of Scala without Scalaplexity (though I wouldn know I am a big lover os Scala but people say that). More importantly Kotlinpiles to both Java Virtual Machine bytecode and to Javascript so it can run both on client and server allowing developer to adhere to the DRY principle (Don Repeat Yourself) which is very important. Ive seen software development houses develop exactly the same software twice in Javascript and Java then stuck with maintaining and synching two codebases eek! Easily preventable thanks to this Russianpany. Also Kotlin is increasingly popular with Android and iOS developers. ABBYY is made-in-Russia OCR software. It converts a scanned or photographed sheet of to searchable . It light years ahead of Adobe which used to be the market leader in OCR. You might not have heard of ABBYY but that because they don sell to consumers that much. Instead their OCR software is bound with almost every scanner you buy. Companies like Evernote run ABBYY behind the scenes too. NGINX is the fastest growing reverse proxy webserver. Last I checked one third of websites worldwide used it. Probably more so now. Quora uses it too. Parallels is a hosting platform used by many web hosts including GoDaddy. Kaspersky is the world best antivirus. It would have undoubtedly been the world most popular hasn it been expensive. I am sure there are other things Ive left out but this is just from the top of my head. All that done by Russian developers who stayed in Russia during Russia hardest years when they could have worked abroad and made many times more money. Ive seen Russian developers abroad in big software houses in the US and Israel. They pull way more than their weight too.
What are some ways of implementing an OCR using neural networks with backpropagation?
One way is using Convolutional Neural Networks. The key aspect is to omit any fully-connected layers that are usually found at the end of such networks and describe the final layers as convolutional layers to peform the classification step on multiple patches it get from preceeding layers. These can be referred to as fully convolutional networks because the classification part emerges from a convolution just like the feature extraction part. This idea goes back to multi-digit recognition experiment by Yann LeCun's group MNIST Demos on Yann LeCun's website also see LeNet-5 demos . Particularly this paper Multi-Digit Recognition Using a Space Displacement Neural Network . The same concept can be applied to alphanumeric character recognition. It is not limited to numeric digits from the MNIST database.
How do I integrate a barcode scanner in an app using Java API?
Well that is OCR thing to do that you need to use Java API with the capability of doing the OCR stuff ( Optical Character Recognition ) there's a project on github maintains such an API it's called zebra crossing there are examples for android too out there using this library API for starters here is the zxing s
In your opinion, what is better for a GUI: Java or c#?
I think if you're happy to be making a Windows-only application then WPF is probably on balance a little nicer than JavaFX. They are *really* similar though basically you've got a XML-based GUI design language (XAML for WPF and Windows Store apps and FXML for JavaFX). Then you've got the language C# and Java which are basically the same. WPF wins on tooling Visual Studio is very nice and basically while I'm used to NetBeans now Visual Studio is better. The GUI designer in Visual Studio is notably better than Scene Builder for JavaFX although I think now Gluon are taking care of Scene Builder more will happen on that front. JavaFX is of course cross platform though and for me by far the best cross-platform GUI toolkit out there. I think WPF and C# suit beginners more simply because of Visual Studio it's just a more cohesive offering than NetBeans + JDK + Scene Builder. WPF is better if you want to make native-looking applications. Consider that if you want a native dialog box in JavaFX you're going to be using JNI + C. I use JavaFX for a few applications and I've got about 13 lines of C to make the whole thing seem like a native application. 13 lines isn't very much but if you're not used to C it'll be hard going. I think they are very similar offerings both excellent. WPF if you're working on Windows only is better for a lot of things especially if you're wanting to hook into DirectX or some other Windows-only technology. If you need to run on something other than Windows like Mac Linux Android iPhone then JavaFX is obviously the way to go. I think choosing between WPF and JavaFX is like choosing between a BMW and an Audi you're unlikely to regret either.
How can I grab identical articles in corrupted OCR texts?
Your question seems to be attacking two different problems. Are you Trying to figure out identical articles in the index? Even if some of the words are missed the solution to 1 is pretty straightforward - Sujit has outlined it pretty nicely in his answer. In case thats not what you are trying to solve then you should look at machine learning for extrapolate the missing words. If all of your scanned documents belong to the same category (I mean all of them are either hotel bills or tax returns etc) then you should build a simple Bayesian algorithm to figure out which words occur next to each other. Once you have this training corpus loaded in a machine learning platform you should be able to easily identify the missing words. We have used a similar technique for a variety of purpose Understanding Expense Types - Mobile Based Receipt Scanning & Data Extraction System Loyalty Management - Receipt Based Loyalty Management Program For Indirect Sales ordered-list Hope this helps.