OBYEKTNI TANIB OLISH TIZIMLARINING ANIQLASH USULLARI

https://doi.org/10.5281/zenodo.13945978

Authors

  • Mamaraimov Abror Kamoliddin o’g’li O‘zbekiston Milliy Universiteti Jizzax filiali assistent o‘qituvchisi Author
  • Muxtorov Sirojiddin Anvar o‘g‘li O‘zbekiston Milliy Universiteti Jizzax filiali o‘quvchisi Author

Keywords:

Obyektni aniqlash (Object Detection), Kompyuter ko‘rishi (Computer Vision), OCR (optical character recognition), FlexiCapture

Abstract

Obyektni tanib olish texnologiyalari turli usullarga asoslanadi va ularning samaradorligi tasvirning aniqligi, shovqin darajasi, obyektning murakkabligi va o‘qitilgan modelning sifati kabi omillarga bog‘liq. Obyektlarni tanib olishning yanada aniqroq usullari optical character recognition  sodda tushintirganda rasmni ichidan belgilarni tanib olish tizimi

References

Schantz, Herbert F. (1982). The history of OCR, optical character recognition. [Manchester Center, Vt.]: Recognition Technologies Users Association. ISBN 9780943072012.

"Optical Character Recognition (OCR) – How it works". Nicomsoft.com. Retrieved June 16, 2013.

Nedzved A., Belotserkovsky A., Ablameyko S., Riazanov V. Calculation of 3D Characteristics of Objects From Computer Tomography Images // Artificial Intelligence. - №3. - Donetsk, 2009, pp. 582-587.

Чорркулов Г., Норматов Н., Мамараимов А. Роль анализа текстовых связей в электронных документах в информационной безопасности //Информатика и инженерные технологии. – 2023. – Т. 1. – №. 1. – С. 67-71.

Норматов Н., Мамараимов А. Ta’lim tizimida baholash tizimini avtomatlashtirishni joriy etish jarayonlari va foydalanish metodlari //Информатика и инженерные технологии. – 2023. – Т. 1. – №. 2. – С. 356-359.

Мамараимов А., Чорёркулов Г., Норматов Н. Tanib olish modullarini dasturiy amalga oshirish //Информатика и инженерные технологии. – 2023. – Т. 1. – №. 2. – С. 38-44.

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Published

2024-10-10

How to Cite

Mamaraimov , A., & Muxtorov , S. (2024). OBYEKTNI TANIB OLISH TIZIMLARINING ANIQLASH USULLARI: https://doi.org/10.5281/zenodo.13945978. Journal of International Science Networks , 1(2), 4-5. https://bestjournalup.com/index.php/jisn/article/view/478