Face recognition is a crucial area in computer vision and biometric applications, playing significant role security, authentication, human-computer interaction. Despite its importance, traditional face methods often encounter challenges such as variations lighting, changes facial expressions, the presence of occlusions, which can affect their effectiveness. To address these limitations, hybrid approaches that combine multiple techniques have proven to enhance accuracy robustness, offering...

In this article, we present a new color image segmentation method, based on multilevel thresholding and data fusion techniques which aim at combining different sources associated to the same in order increase information quality get more reliable accurate result. The proposed approach is conceptually explores strategy. fact, instead of considering only one for each application, our technique consists many realizations image, together, an optimal segmented image. For segmentation, proceed two...

The recent advancements in technologies such as artificial intelligence (AI), computer vision (CV), and Internet of Things (IoT) have significantly extended various fields, particularly surveillance systems. These innovations enable real-time facial recognition processing, enhancing security ensuring safety. However, mobile robots are commonly employed systems to handle risky tasks that beyond human capability. In this context, we present a prototype cost-effective robot built on the...

Vehicle license plate images are often low resolution and blurry because of the large distance relative motion between vision sensor vehicle, making identification arduous. The extensive use expensive, high-quality sensors is uneconomical in most cases; thus, initially captured then translated from to high resolution. For this purpose, several traditional techniques such as bilinear, bicubic, super-resolution convolutional neural network, generative adversarial network (SRGAN) have been...

Nowadays, the use of public transportation is reducing and people prefer to private transport because its low cost, comfortable ride, personal preferences. However, causes numerous real-world road accidents due conditions drivers’ state such as drowsiness, stress, tiredness, age during driving. In cases, driver fatigue detection mandatory avoid ensure a journey. To date, several complex systems have been proposed that problems practicing hand feature engineering tools, causing lower...

In this paper, entropy and between-class variance based thresholding methods for color images segmentation are studied. The maximization of the (MVI)and (ME) have been used as a criterion functions to determine an optimal threshold segment into nearly homogenous regions. Segmentation results from two validated sensitivity test data available is evluated, comparative study between these in different spaces presented. experimental demonstrate superiority MVI method image segmentation.

Denoising image is considered as a very important pretreatment and basic operation for meaningful analysis of acquired image. In this paper, comparative study denoising techniques presented. We analyzed the ineffectiveness isotropic anisotropic diffusion extended work into regular diffusion. Isotropic used at locations with low gradient total variation based along likely edges. These have been applied to textured satellite images illustrate methodology. The PSNR test data available evaluated...

In this paper, we present a new color image segmentation method, based on modified Fuzzy C-Means technique and different spaces which aim at including the informations provided by in C-means order to increase information quality get more reliable accurate result. first phase of segmentation, classification accuracy degree is employed identify most significant pieces used spaces. second phase, (FCM) algorithm cluster these into homogeneous regions. The proposed method evaluated comparative...

Recently, Face Recognition (FR) has been received wide attention from both the research community and cyber security industrial companies. Low accuracy of recognition is considered a main challenge when it comes to talking about employing Artificial Intelligence (AI) for FR. In this work, Scale Invariant Feature Transform (SIFT) Convolutional Neural Networks (CNN) feature extraction methods are utilized build an AI based classifier. The CNN extracts features through convolutional polling...

This paper presents a new colour image segmentation method based on Fuzzy C-means technique and the second order statistics. The importance of combining statistical features extracted from co-occurrence matrix standard C-Means clustering algorithm in context is studied this paper, to obtain more reliable accurate results. In first phase segmentation, characterization degree employed identify most significant matrix. phase, (FCM) used cluster feature vectors into homogeneous regions....

The idea of developing a robot controlled by iris movement to assist physically disabled individuals is indeed innovative and has the potential significantly improve their quality life. This technology can empower with limited mobility enhance ability interact environment. Disability huge impact on life people. Therefore, there need develop which be using movement. main this work revolves around recognition from an eye image, specifically identifying centroid iris. centroid's...

The idea of developing a robot controlled by iris movement to assist physically disabled individuals is, indeed, innovative and has the potential significantly improve their quality life. This technology can empower with limited mobility enhance ability interact environment. Disability huge impact on lives people. Therefore, there is need develop that be using movement. main this work revolves around recognition from an eye image, specifically identifying centroid iris. centroid’s position...

Biometrics represents the technology for measuring characteristics of human body. Biometric authentication currently allows secure, easy, and fast access by recognizing a person based on facial, voice, fingerprint traits. Iris is one essential biometric methods identifying person. This type has become popular in research practical applications. Unlike face hands, iris an internal organ, protected therefore less likely to be damaged. However, number helpful information collected from much...

Recent research has shown that image segmentation, a great importance in many areas and especially the industrial application, such as robot animation, mobile localization, etc...¶ Also, medical imaging, it is used for tumor detection radar target detection. This paper deals with problem of texture segmentation using higher order statistics. We propose novel form third statistics, extend general concept cooccurrence matrix, define frequency matrix. First order, second statistics are analysed...