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Video instructions and help with filling out and completing java ocr library open source


What are the best open source OCR libraries?
Tesseract seems pretty goodn s s n Tesseract is probably the most accurate open source OCR engine available. Combined with the Leptonica Image Processing Library it can read a wide variety of image formats and convert them to in over 6 languages. It was one of the top 3 engines in the 1995 UNLV Accuracy test. Between 1995 and 26 it had little work done on it but since then it has been improved extensively by Google. It is released under the Apache License 2..
Which is the best Android OCR library?
There are many OCR libraries available for integration with Android - Tesseract is very widely used. From my experience extraction on OCR is generally not that great. So what you should do is - do a basic extraction test on the Android to make sure the image is taken properly does not have a shake etc and then send it to a server side library for deeper extraction and pre-processing. The trickier part is what to do after OCR engine gives you the . Text extraction is way moreplicated than vanilla OCR. For extraction you need to worry about two more things Extraction Rules OCR softwares usually dump the in your document into a free form field. This works great if you are scanning a page from a book or a doc. But in case you need to separate the line items from the document then you also need to apply lot of rules around it. That can take a lot more time than integrating the OCR engine For business apps there are situations where the OCR engine is pretty confident of the extracted data but the does not add up in the con of all the other data around it. This is where classic OCR engines fails. A lot ofpanies have been able to get around this problem by building strong algorithms based on machine learning which can plug the gap in the OCR engine's readability.
What are some open source artificial intelligence libraries that can read a car tag from a video/picture?
In general you'll need some kind of OCR (Optical Character Recognition) Library or some Image Processing library. The difficulty of implementing this would depend on the plane whether there's a color consistency of the numbers versus the background etc etc.) Off the top of my head I would say check out OpenCV. There isn't an inbuilt function which does what you're looking for but you can attempt making templates and matching it. Or try the Java OCR libraries. So if I get to listing OpenCV This is what I have used and its really powerful as an IP library provided you have an annoying doggedness in getting over the mildly steep learning curve. Check But since no list isplete until it looks like some work has been put into it I'm going to list some libraries that I have personally not used but may be of help to you. Note a lot of OCR libraries are aimed at reading scanned document An OMR library for variety Now in case you actually had the patience to read till here I'll give this gift wrapped An open source license plate recognition project And another I would advise some reading on the IP behind this. Plenty of research papers deal with it. Once the license plate has been identified then pulling the numbers shouldn't be a problem.
Can I get a library in Java for OCR Arabic conversion?
You can use Open Source Tesseract s OCR library. For java they have Java JNA wrapper for Tesseract OCR API named tess4J . For Arabic put the s file into tessdata folder. In the API set language as ara . That all you need to do but it can give good results only when the input image is grayscaled and cleared of any noise or unnecessary stuffs in it which you can do using OPENCV Image processing library.
How are libraries used in Android app development, and what are the best open source libraries?
Recently I have written few parts on my blog for the series Lazy Android developers Be productive Be a lazy but a productive android developer - 1 = RoboGuice Be a lazy but a productive android developer - 3 = JSON Parsing library n Be a lazy but a productive android developer 3 Part 5 - Image loading n Be a Lazy but a productive android developer - 7 - Useful tools n nAnd Here you go for my presentation on the same Lazy Android Developers - Be Productive s . In case if you are looking for any library I would suggest you to explore below sites to find out UI widgets or any library to use inside Android application s s
What are some software libraries for large scale learning?
Open-source italic Netlib ScalaNLP and breeze s Theano dmlc s n NAG Nvidia Introduces CuDNN a CUDA-based Library for Deep Neural Networks s n PredictionIO s n Probabilistic Network Library PNL by Intel and PNL | ITLab Lobachevsky State University of Nizhni Novgorod refr - Reranker Framework (ReFr) - Google Project Hosting s about A New Open-Source Framework for Building Reranking Models parredHMMlib | Andreas Sand ~asand n SAMOA by yahoo n The SMALL project Dposer SuiteSparse SMMP ~douglas ~douglas SPARSEKIT ~saad ~saad (also ~saad ~saad ) HEIGEN ~ukang ~ukang MLbase n xdata s n milakov s n n Leon Bottou's toolkit MADlib BayesDB n n Matrix factorizations s s VW ~vw ~vw Apache Mahout ( notes ~ang %7Eang ) Pegasus ~pegasus ~pegasus BID Data Project by John Cannyn VFML Shogun GraphLab (notes via Danny Bickson and Joseph Turian ) iSAX ~eamonn ~eamonn MOA (notes ) S4 LinAlg (Ruby) dlib (notes ) Shark Borealis Hama PSVM (via Joseph Misiti) LibCVM ~ivor ~ivor (via Joel Hoff) The TLD project LIBLINEAR ~cjlin ~cjlin SVMTorch SVDPACK StreamIt SENNA Spark Machine Learning Library (MLlib) (via Apache Spark The Next Big Data Thing? s ) Spark-LIBLINEAR Libraries for Large-scale Linear Classification on Distributed Environments ~cjlin n Elephant (notes ) Elephant ~jpetterson ~jpetterson SparseM (via Josh Wills) R (via Dan Knoepfle) R SciPy SciKits Sage and IPython (via Jameson Quinn) NumPy etc ARPACK ScaLAPACK BLAS implementations uBLAS Eigen SPIRIT Scilab (via Aditya Sengupta) Java Nonlinear Optimization Java Parallel Optimization JAMA Octave Multicore (via Jordi Arnabat) Tesseract OCR IBM Parallel ML toolbox Microsoft Sigma HPCC by LexisNexis Graphical Models toolbox Lazy Learning toolbox ~lazy ~lazy Deep Learning toolbox Mortar ~kyocum ~kyocum Debellor STXXL n Matlab Toolbox For Dimensionality Reduction (via Laurens van der Maaten) CUDA Perl Data Language PGPLOT ~tjp ~tjp Processing C5. Spark Bagel s s StatStream OpenCV vecLib Netlab Java Numerics #libraries #libraries Matrix Toolkits for Java List of numerical analysis software PLASMA Colt Parallel Colt s s Incanter s s Lush Hal ~hal ~hal Cython for numericalputations Commercial italic n Distributed Matlab Microsoft Star-P (notes n ) IBM InfoSphere Google Prediction API (notes ) RapidMiner Pentaho Tableu SAS Forecast Server Esper Streambase Oracle BI Tibco Spotfire Oracle Data Mining Intel Math Kernel EigenDog s s (thanks to Julien Verlaguet user 165619 ) Labs italic n Boyd ~boyd ~boyd Franklin ~franklin ~franklin Faloutsos ~christos ~christos Bontempi Shalev-Shwartz ~shais ~shais NEC Select Shasha CBCB Wendykier s s ~ccl ~ccl Other italic n Pregel Has anyone started an Apache project based on Google's recently published Pregel paper? question qid 3468 Graph Databases NoSQL Databases Kdb+ +.php +.php GNU Parallel Bloom LinAlg Lush Brainlab ~drewes ~drewes The SRI Language Modeling Toolkit (via Jeff Dalton user 22194 ) Yahoo LDA s s (Via Alex Smola user 183672 ) AppScale Scientific libraries for Mac ~salathe ~salathe dmoz AI directory Metaoptimize thread on ML libraries Google Code Search #search&q=gradientdescent&=cs #search&q=gradientdescent&=cs Java-matrix-benchmark Gorila Google Reinforcement Learning Architecture n (This is a live list. Edits and additions wee) italic
Why does C++ still require a forward declaration in 2018 when every other language can already exist without it?
In languages like C# and Java you canpile a piece of code into a binary module and later import that from other modules. That possible thanks to reflection and a standard application binary interface (ABI). C++ doesn have any of those. Consider what happens when youpile C++ code into a library. You can either use a .lib file (static ing) or a .dll .so .dylib (dynamic ing). Both are hugely platform OS andpiler dependent. While C++ source code is highly standardspliantpiled binary libraries arepletely vendor-dependent. Yes this is a minor pain because you can even ship binary code and expect it to work everywhere like Java bytecode does. And you must always ship your declarations in an include file because there no binary interface available. I like to point out that C was designed forputers with so little memory that this Quora page wouldn fit in it. My profile picture wouldn fit in the memory of the firstputer Ive ever used. Backwardspatibility is very important. Even if you code in modern C++14 or newer you want to be able to use 25 year old code every once in a while. Because that how the economy works. So why no standard binary interface? Because that would prevent individual vendors from making better and better optimizations. Also note that both .NET and Java have licensing implications which is a nightmare for many C++ programmers. Consider that Java support costs thousands of dollars per machine per year or if you use the open-source version you get no long-term support or security fixes. Consider how Android still has to rely on a decade old Java runtime and theyre in constant legal trouble for using that. We just don want to deal with having a singlepany controlling or owning all rights to the C++ binary interface and runtime. Yes it would be nice topile a library and #import it. Microsoft has tried that with COM but it was extremely haphazard. One vendor experimenting with that is not enough. It would have to be done by the standardsmittee. But the standardsmittee doesn want to deal with hundreds of different platforms and implementation details. Note that Java bytecode and reflection supportes at a cost. It adds a relatively big overhead to the memory requirements. And C++ is frequently used in microcontrollers with very small amount of RAM. C is used in aviation instrumentation and the car industry where you can afford an enormous overhead. A solution that works well on Windows wouldn work in a smart toaster oven or a Mars lander. So a standard binary interface is not happening in C++ right now. Multiplepanies have attempted to create a friendlier more streamlined version of C++. There the D language which is absolutely amazing has reflection and binary library support. Microsoft has created Managed C++ later C++ All of these attempts have failed. Why? Because the world has trillions of lines of legacy C++ code and we can afford rewriting everything from scratch. We can afford depending on a single vendor non-standard extension. C++ is clearly not for everyone. I just use C# when I need a GUI or a simple quick proto. We use Python for NLP and neural network research Matlab for signal processing and so on. But forputer vision or converting PDF documents to Word DOCX or writing an OCR engine a modern version of C++ is still a very optimal solution.