O‘ZBEK LOTIN ALIFBOSI QO‘L YOZUVI BELGILARINI ANIQLASH TIZIMINING TADQIQOT METODOLOGIYASI VA TAKLIF ETILAYOTGAN GIBRID ALGORITM ARXITEKTURASI
DOI:
https://doi.org/10.65164/m772q751Keywords:
qo‘l yozuvi tanish, gibrid algoritm, CNN, SVM, DFD, Use Case, o‘zbek lotin alifbosi.Abstract
Ushbu tezisda o‘zbek lotin alifbosi qo‘l yozuvi belgilarini aniqlash uchun taklif etilayotgan gibrid algoritm va tizim arxitekturasi yoritiladi. Tadqiqot metodologiyasi, maqsad va vazifalar, ilmiy gipoteza, funksional model (DFD), foydalanuvchi holatlari (Use Case) va gibrid arxitektura (oldindan ishlov berish + segmentatsiya + CNN + SVM) komponentlari batafsil ko‘rib chiqiladi. Gibrid yondashuv an’anaviy usullarga nisbatan aniqlikni 10–20% ga oshirishi ko‘rsatilgan. Eksperimentlar natijasida 94–96% aniqlikka erishilgan. Tizim raqamli arxivlar, ta’lim va hujjatlar raqamlashtirishda qo‘llash uchun mos
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