FAZOVIY TASVIRLARNI TAHLIL QILISH ASOSIDA YUZNI ANIQLASHDA FOURIER O‘ZGARISHLARIDAN FOYDALANISH

Аннотация

This article considers the problem of human face recognition based on spatial image analysis. Face recognition is one of the current areas of computer vision and biometric identification. In particular, the extraction and analysis of the main features of digital images by representing them in the frequency domain is of great importance for systems based on artificial intelligence. Fourier transforms allow converting digital images from space to frequency, which greatly simplifies the task of face recognition. The article extensively covers DFT (Discrete Fourier Transform) and its two-dimensional (2D) representations, algorithms used in image analysis, experimental results, graphical analysis, and integration with artificial neural networks. Keywords: Fourier transform, frequency domain, spatial images, face detection, DFT, IDFT, CNN, synchronous filtration, spectral analysis, LFW, spatial filtering, artificial intelligence.