For identification of a particular human being signatures prove to be an important biometric. The signature of a person is an important biometric attribute of a human being which can be used to authenticate human identity. However human signatures can be handled as an image and recognized using computer vision and neural network techniques. With modern computers, there is need to develop fast a...

This paper aims to present a review of neural networks used in medical image processing. We classify neural networks by its processing goals and the nature of medical images. Main contributions, advantages, and drawbacks of the methods are mentioned in the paper. Problematic issues of neural network application for medical image processing and an outlook for the future research are also discuss...

The detection of the environment where user is located, is of extreme use for the identification of Activities of Daily Living (ADL). ADL can be identified by use of the sensors available in many off-the-shelf mobile devices, including magnetic and motion, and the environment can be also identified using acoustic sensors. The study presented in this paper is divided in two parts: firstly, we di...

In this paper ART1 neural network algorithm is used for recognition of color images which speeds up the process of Image processing and its recognition process. But, generally Adaptive Resonance Theory-1(ART-1) network is used only for processing binary digits, but in this paper it may also be used for image recognition. The given fact limits the loss of information as a result, two different c...

The COVID-19 pandemic is producing a global health pandemic. According to the World Health Organization (WHO), utmost effective protection wear face mask in crowded regions/areas. During this pandemic, it compulsory for every person and maintain social distancing. In field of Image Processing, Convolutional Neural Networks (CNNs) have risen prominence as most common type image realization/recog...

gesture and motion recognition are needed for a variety of applications. the use of human hand motions as a natural interface tool has motivated researchers to conduct research in the modeling, analysis and recognition of various hand movements. in particular, human-computer intelligent interaction has been a focus of research in vision-based gesture recognition. in this work, we introduce a 3-...

Image localization is important for marketing and recommendation of local business; however, the level of granularity is still a critical issue. Given a consumer photo and its rough GPS information, we are interested in extracting the fine-grained location information, i.e. business venues, of the image. To this end, we propose a novel framework for business venue recognition. The framework mai...

Artificial Neural Network (ANN) is a method of the mathematical functions to simulate the human nervous cells in the processing system. The advantage of ANN is using the model of neural network system with constantly training to gain the accurate results. Structure Similarity (SSIM) comprise the image brightness, contrast, and structure, it expresses the quality of the images comprehensively. T...

urban spaces are like a dramatic stage, in which buildings and street’s facades are the actors. while people are passing through streets, they will communicate the information with the environment, as well as, explore and study the spaces. people transfer the greatest number of information from the urban space and the surrounding environment through their visual senses. hiking determines one of...