Management and Economics Scientific Research Journal Том 2 № 2 (2025) · с. 133-135

KAFT TASVIRI ASOSIDA SHAXSNI TANIB OLISH YONDASHUVLARI TAHLILI

Mamatov N.S, Kodirov E.S

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Аннотация

The article presents a comparative analysis of palm-based identity recognitionapproaches. This method of biometric identification is characterized by line-based, texture-based,geometry-based, statistical methods, deep learning, and hybrid approaches. The methods,databases, and results obtained for each approach are presented. According to the analysis results,it was found that deep learning and hybrid approaches showed high accuracy. The effectivenessof the systems was assessed by the equivalent error rate (EER) and accuracy indicators.

Biometrik identifikatsiya, kaft tasviri, shaxsni tanib olish, chiziqlarga asoslangan yondashuvlar, teksturaga asoslangan yondashuvlar, geometriyaga asoslangan yondashuvlar, statistik yondashuvlar, chuqur o'qitish, gibrid yondashuvlar, teng xatolik darajasi (EER).

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APA 7
Mamatov N.S & Kodirov E.S (2025). KAFT TASVIRI ASOSIDA SHAXSNI TANIB OLISH YONDASHUVLARI TAHLILI. Management and Economics Scientific Research Journal, 2(2), 133-135.
GOST R 7.0.5
Mamatov N.S, Kodirov E.S KAFT TASVIRI ASOSIDA SHAXSNI TANIB OLISH YONDASHUVLARI TAHLILI // Management and Economics Scientific Research Journal. 2025. Т. 2. № 2. С. 133-135.
BibTeX
@article{n.s2025,
  author  = {Mamatov N.S and Kodirov E.S},
  title   = {KAFT TASVIRI ASOSIDA SHAXSNI TANIB OLISH YONDASHUVLARI TAHLILI},
  journal = {Management and Economics Scientific Research Journal},
  year    = {2025},
  volume  = {2},
  number  = {2},
  pages   = {133-135}
}
RIS
TY  - JOUR
AU  - Mamatov N.S
AU  - Kodirov E.S
TI  - KAFT TASVIRI ASOSIDA SHAXSNI TANIB OLISH YONDASHUVLARI TAHLILI
JO  - Management and Economics Scientific Research Journal
PY  - 2025
VL  - 2
IS  - 2
SP  - 133
EP  - 135
ER  -