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Poređenje između dva pristupa prepoznavanja karaktera
'Politehnica' University of Timisoara, Department of Automation and Applied Informatics, Timisoara, Romania

e-adresalucian.fedorovici@aut.upt.ro
Ključne reči: OCR mehanizam; prepoznavanje karaktera; neuralne mreže; SVM klasifikator; poboljšanje performansi
Sažetak
Ovaj rad predstavlja arhitekturu tehnologije Optičkog Prepoznavanja Karaktera (OCR) zasnovane na dva pristupa, višeslojne neuronske mreže i Support Vector Machine (SVM) klasifikatora koji koristi Zernikove momente za izdvajanje karakteristika. Poređenje performansi dva pristupa se bazira na sličnom rasporedu većine karaktera koji treba da budu prepoznati. Poređenje pokazuje da se poboljšanje procesnih performansi može postići stvaranjem klasa bitova binarne slike koji koriste geometrijske sličnosti, i obavljanjem OCR-a samo na reprezentativnim bitovima u svakoj klasi.
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O članku

jezik rada: engleski
vrsta rada: neklasifikovan
objavljen u SCIndeksu: 30.03.2012.

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