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OpenALPR is an automatic number-plate recognition library written in C++. [9] The software is distributed in both a commercial cloud based version [1] and open source version. [3] [10] OpenALPR makes use of OpenCV and Tesseract OCR libraries. It could be run as a command-line utility, standalone library, or background process.
RE/flex supports Unicode regular expression patterns in lexer specifications and automatically tokenizes UTF-8, UTF-16, and UTF-32 input files. Code pages may be specified to tokenize input files encoded in ISO/IEC 8859 1 to 16, Windows-1250 to Windows-1258 , CP-437, CP-850, CP-858, MacRoman, KOI-8 , EBCDIC , and so on.
Windows Virtual PC Windows 8 Virtual Hard Disk file format 49 73 5A 21: IsZ! 0 isz Compressed ISO image: 44 41 41: DAA: 0 daa Direct Access Archive PowerISO 4C 66 4C 65: LfLe: 0 evt Windows Event Viewer file format 45 6C 66 46 69 6C 65: ElfFile: 0 evtx Windows Event Viewer XML file format 73 64 62 66: sdbf: 8 sdb Windows customized database 50 ...
This comparison of optical character recognition software includes: . OCR engines, that do the actual character identification; Layout analysis software, that divide scanned documents into zones suitable for OCR
LBPLibrary is a collection of eleven Local Binary Patterns (LBP) algorithms developed for background subtraction problem. The algorithms were implemented in C++ based on OpenCV. A CMake file is provided and the library is compatible with Windows, Linux and Mac OS X. The library was tested successfully with OpenCV 2.4.10.
Earliest ideas of optical character recognition (OCR) are conceived. Fournier d'Albe's Optophone and Tauschek's Reading Machine are developed as devices to help the blind read. [1] 1931–1954 First OCR tools are invented and applied in industry, able to interpret Morse code and read text out loud.
Gestalt pattern matching, [1] also Ratcliff/Obershelp pattern recognition, [2] is a string-matching algorithm for determining the similarity of two strings. It was developed in 1983 by John W. Ratcliff and John A. Obershelp and published in the Dr. Dobb's Journal in July 1988.
In addition, RetrievalWare implemented a form of n-gram search (branded as APRP - Adaptive Pattern Recognition Processing [10]), designed to search over documents with OCR errors. Query terms are divided into sets of 2-grams which are used to locate similarly matching terms from the inverted index. The resulting matches are weighted based on ...