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Browsing Articles by Subject "Computer vision"

Browsing Articles by Subject "Computer vision"

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  • Bangla Font Recognition using Transfer Learning Method 
    Hasan, Md. Sakibul; Rabbi, Golam; Islam, Rejoan; Bijoy, Md. Hasan Imam; Hakim, Md. Azizul (Daffodil International University, 2023-01-03)
    Font detection and similar font suggestions are essential in computer vision, document analysis, pattern recognition, web development, and core work for graphics designers and UX-UI engineers. Even though Bangla is one of ...
  • Bangla Handwritten Digit Recognition Using Deep Convolutional Neural Network 
    Basri, Rabeya; Haque, Mohammad Reduanul; Akter, Morium; Uddin, Mohammad Shorif (ACM International Conference Proceeding Series, 2020)
    Handwritten Bangla digit recognition is one of the most challenging computer vision problems due to its diverse shapes and writing style. Recently deep learning based convolutional neural network known as deep CNN finds ...
  • BrainNet-7 
    Rashid, Md. Harun-Or; Akter, Salma; Akhi, Amatul Bushra (Daffodil International University, 2022-01-20)
    Tumors in the brain are masses or clusters of abnormal cells that may spread to other tissues nearby and pose a danger to the patient. The main imaging technique used to determine the extent of brain tumors is magnetic ...
  • A Comprehensive Guava Leaves and Fruits Dataset for Guava Disease Recognition 
    Rajbongshi, Aditya; Sazzad, Sadia; Shakil, Rashiduzzaman; Akter, Bonna; Sara, Umme (Daffodil International University, 2022-04-12)
    Guava (Psidium guajava) is a delicious fruit native to Mexico, Central or South America, and the Caribbean region. It's high in vitamin C, Calcium, Pectins and is a good source of fiber. Due to concerns with natural and ...
  • Computer Vision and Image Analysis for Industry 4.0 
    Siddique, Nazmul; Arefin, Mohammad Shamsul; Ahad, Md Atiqur Rahman; M. Ali Akber Dewan; Dewan, M. Ali Akber (Chapman & Hall, 2023-06-12)
    Computer vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance. Working environments ...
  • A Computer Vision Based Food Recognition Approach for Controlling Inflammation to Enhance Quality of Life of Psoriasis Patients 
    Hridoy, Rashidul Hasan; Akter, Fatema; Mahfuzullah, Md.; Ferdowsy, Faria (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-26)
    Deep learning becomes the spotlight in computer vision based recognition approaches in recent years. Psoriasis affects people of all ages around the world and causes inflammation on the skin with significant systemic ...
  • Computer Vision Based Local Fruit Recognition 
    Mia, Md. Robel; Mia, Md. Jueal; Majumder, Anup; Supriya, Soummo; Habib, Md. Tarek (International Journal of Engineering and Advanced Technology, 2019-10)
    Abstract: Bangladesh is an agricultural country having a tropical monsoon climate. A large variety of tropical and sub-tropical fruits abound in Bangladesh. People of Bangladesh are fruit-lovers too. Currently, most of the ...
  • Computer Vision Based Local Vegetables Recognition 
    Mia, Md. Robel; Chakraborty, Narayan Ranjan (2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON), 2021)
    We often travel to different countries, but we are not aware of the local vegetables of many countries. If we are aware of the local vegetables of different countries, then it is very easy for us to recognize the specific ...
  • Computer Vision Based Skin Disorder Recognition Using Efficient net 
    Hridoy, Rashidul Hasan; Akter, Fatema; Rakshit, Aniruddha (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-26)
    Skin disorders have a vital impact on people's health and quality of life, it is essential to develop a reliable and accurate computer vision approach to recognize multiple skin disorders. In this paper, a new rapid ...
  • Computer Vision Based Skin Disorder Recognition Using Efficientnet 
    Hridoy, Rashidul Hasan; Akter, Fatema; Rakshit, Aniruddha (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-26)
    Skin disorders have a vital impact on people's health and quality of life, it is essential to develop a reliable and accurate computer vision approach to recognize multiple skin disorders. In this paper, a new rapid ...
  • A Computer Vision System for Bangladeshi Local Mango Breed Detection using Convolutional Neural Network (CNN) Models 
    Haque, A.S. M. Farhan Al; Rahman, Md. Riazur; Marouf, Ahmed Al; Khan, Md. Abbas Ali (Scopus, 2020)
    Magnifera Indica, traditionally known as mango, is a drupe found around the world in over 500 species. India has produced 19.5 million metric tons of mango in 2017. In Bangladesh, mango has been referred as the national ...
  • A Computer Vision System for the Categorization of Citrus Fruits Using Convolutional Neural Network 
    Hasan, Md. Mehedi; Salehin, Imrus; Moon, Nazmun Nessa; Kamruzzaman, T. M.; -Ul-Islam, Baki; Hasan, Mehedi (2021 International Symposium on Electronics and Smart Devices (ISESD), IEEE, 2021-08-12)
    The recognition of citrus fruit is one of the most challenging and crucial measures in citrus yield mapping. Several artificial vision systems have been proposed to solve the issue of fruits recognition problem with sundry ...
  • A Computer Vision Technique to Detect Scab on Malabar Nightshade 
    Mojumdar, Mayen Uddin; Chakraborty, Narayan Ranjan (IEEE, 2020-10-15)
    Agribusiness and its efficiency have a decent effect on the financial development of each nation. In Agriculture, leaf ailments have become an issue because it may a create basic decline in both quality and measure of ...
  • Computer Vision-Based Street-Width Measurement for Urban Aesthetics Identification 
    Chowdhury, Umme Rubaiyat; Roy, Manoj (Daffodil International University, 2022-04-08)
    This paper presents a computer-vision based Street-Width measurement system for Urban Aesthetics identification. In this system image is captured using a digital camera. In the pre-processing section the image is scaled ...
  • A Convolution Neural Network Based Classification Approach for Recognizing Traditional Foods of Bangladesh from Food Images 
    Tasnim, Nishat; Islam, Md. Romyull; Shuvo, Shaon Bhatta (Springer, 2019-04-12)
    The process of identifying food items from an image is one of the promising applications of visual object recognition in computer vision. However, analysis of food items is a particularly challenging task due to the nature ...
  • Detection of Maize and Peach Leaf Diseases Using Image Processing 
    Sheikh, Md. Helal; Mim, Tahmina Tashrif; Reza, Md. Shamim; Rabby, AKM Shahariar Azad; Akhter, Syed (10th International Conference on Computing, Communication and Networking Technologies, IEEE, 2019-12-30)
    There are thousands of grains and fruits grown on this planet every day. In order to cope with the needs of the people, new farming practices are constantly being invented. In addition, the discovery and use of new ...
  • Eczemanet 
    Junayed, Masum Shah; Noman, Abu; Sakib, Md; Anjum, Nipa; Islam, Md Baharul; Jeny, Afsana Ahsan (2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), IEEE, 2021-02-01)
    Eczema is the most common among all types of skin diseases. A solution for this disease is very crucial for patients to have better treatment. Eczema is usually detected manually by doctors or dermatologists. It is tough ...
  • Ekush 
    Rabby, AKM Shahariar Azad; Hossain, Syed Akhter; Abujar, Sheikh; Islam, Md. Sanzidul; Haque, Sadeka (Communications in Computer and Information Science, Springer, 2019-07-17)
    Ekush the largest dataset of handwritten Bangla characters for research on handwritten Bangla character recognition. In recent years Machine learning and deep learning application-based researchers have achieved interest ...
  • An Extensive Real-World in Field Tomato Image Dataset Involving Maturity Classification and Recognition of Fresh and Defect Tomatoes 
    Khatun, Tania; Razzak, Abdur; Md. Shofiul Islam, Md. Shofiul; Uddin, Mohammad Shorif (Elsevier, 2023-10-15)
    Tomato, a fruiting plant species within the Solanaceae family, is a widely used ingredient in culinary dishes due to its sweet and acidic flavor profile, as well as its rich nutritional content. Recognized for its potential ...
  • FoNet - Local Food Recognition Using Deep Residual Neural Networks 
    Jeny, Afsana Ahsan; Junayed, Masum Shah; Ahmed, Ikhtiar; Habib, Md. Tarek; Rahman, Md. Riazur (Proceedings - 2019 International Conference on Information Technology, IEEE, 2019-12-21)
    Food is an inseparable part of any culture of any country all over the world. Recognition ability for local foods reflects the cultural strength. Moreover, it would be so beneficial if some can come to know the information ...

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