نتایج جستجو برای: automated image recognition
تعداد نتایج: 712572 فیلتر نتایج به سال:
Face recognition has been an important issue in computer vision and pattern recognition over the last several decades (Zhao et al., 2003). While human can recognize faces easily, automated face recognition remains a great challenge in computer-based automated recognition research. One difficulty in face recognition is how to handle the variations in expression, pose and illumination when only a...
The paper presents the designed software CAMI (Computerized Analysis of Microscopic Images) for a digital reconstruction of the diversiform glands seen in chronic inflammatory gastric mucosa, and for automated recognition and quantization of the immunoreactive neuroendocrine (NE) cells appearing within mucosal glands. Digital reconstruction of the individual gastric gland is difficult due to va...
The National Library of Medicine (NLM) is developing an automated system to produce bibliographic records for its MEDLINE database. This system, named Medical Article Record System (MARS), employs document image analysis and understanding techniques and optical character recognition (OCR). This paper describes a key module in MARS called the Automated Labeling (AL) module, which labels all zon...
Due to its distinctiveness, the human eye is a popular biometric feature used to identity a person with high accuracy. The “Grand Challenge” in biometrics is to have an effective algorithm for subject verification or identification under a broad range of image and environmental conditions. As a response to the challenge, this paper presents baseline performance results derived from an enhanced ...
This research work purposes an automated system for recognizing license plate technique using Convolutional Neural Network. On Indian roads there are variety of number plate format and variety of fonts are used in vehicles and the most common vehicle number plate used yellow or white as background and black used as foreground color. The proposed model can be partitioned into four parts-1) Digit...
An image texture analysis and target recognition approach of using an improved image texture feature coding method (TFCM) and Support Vector Machine (SVM) for target detection is presented. With our proposed target detection framework, targets of interest can be detected accurately. Cascade-Sliding-Window technique was also developed for automated target localization. Application to mammogram s...
Abstract Urban pavement disease recognition is for the most part, a mission performed manually. Recently, video analysis task has been one of important applications in various fields. Aims to renovate on automated vision-based and experiment new methods road detection, this paper analyzes images took from city image data visualization issues. From features extracted histogram oriented gradient,...
The process of transcribing a language represented in its spatial form graphical characters into symbolic representation is called handwriting recognition. Each script has collection or letters, often known as symbols, that all share the same fundamental shapes. Handwriting analysis aims to correctly identify input images before being analysed by various automated systems. Recent research image...
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...
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