Blind or low vision (BLV) people were recently reported to be live streamers on the online
platforms that employed content curation algorithms. Recent research uncovered perceived …

Images captured in low-light conditions usually suffer from degradation problems. Recently,
numerous deep learning-based methods are proposed for low-light image enhancement …

While biometric-face and whole-body-recognition technology have recently advanced and
matured, there are increasing interests in enhanced long-range recognition capabilities …

Present procedure for marking attendance is exhausting and prolonged so this paper is
consequently put forward to challenge all these complications. This paper hence evolve a …

Biometric authentication is critical for secure access in diverse domains, emphasizing the
need for high accuracy to prevent security breaches. Multimodal biometrics fuse traits to …

Facial recognition technology allows both the government and the general public to identify
individuals based on their facial features, even in cases of significant changes. However …

Detecting microorganisms in water is crucial for ensuring water quality and public health.
This study employs deep learning techniques to identify and classify microorganisms in …

The fulfillment of the intended learning outcomes depends on producing test items that
adhere to the principles outlined in Principle 9-Points. In addition, the necessity of follow-up …

Despite of the rapid development of computer vision technology and the widely
advancement of digital image processing systems used in many fields, some uncontrollable …

Many researchers are interested in finding solutions for face recognition against low light
illumination, many succeeded using Histogram Equalization, Retinex Theory, Illumination …