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Browsing Articles by Subject "Computer vision"

Browsing Articles by Subject "Computer vision"

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  • Human Face Recognition Using Eigenface, SURF Method 
    Shamrat, F.M. Javed Mehedi; Ghosh, Pronab; Tasnim, Zarrin; Khan, Aliza Ahmed; Uddin, Md. Shihab; Chowdhury, Tahmid Rashik (Springer, 2022-01-01)
    One such complicated and exciting problem in computer vision and pattern recognition is identification using face biometrics. One such application of biometrics, used in video inspection, biometric authentication, surveillance, ...
  • Identification of Construction Era for Indian Subcontinent Ancient and Heritage Buildings by Using Deep Learning 
    Hasan, Md. Samaun; Kabir, S. Rayhan; Akhtaruzzaman, Md.; Sadeq, Muhammad Jafar; Alam, Mirza Mohtashim; Allayear, Shaikh Muhammad; Uddin, Md. Salah; Rahman, Mizanur; Forhat, Rokeya; Haque, Rafita; Arju, Hosne Ara; Ali, Mohammad (Springer, 2020-10-22)
    The Indian subcontinent is a south geographic part of Asia continent which consists of India, Bangladesh, Pakistan, Sri Lanka, Bhutan, Nepal, and Maldives. Different rulers or the empire of different periods have built ...
  • Identification of Construction Era for Indian Subcontinent Ancient and Heritage Buildings by Using Deep Learning 
    Hasan, Md. Samaun; Kabir, S. Rayhan; Akhtaruzzaman, Md.; Sadeq, Muhammad Jafar; Alam, Mirza Mohtashim; Allayear, Shaikh Muhammad; Uddin, Md. Salah; Rahman, Mizanur; Forhat, Rokeya; Haque, Rafita; Arju, Hosne Ara; Ali, Mohammad (Scopus, 2021)
    The Indian subcontinent is a south geographic part of Asia continent which consists of India, Bangladesh, Pakistan, Sri Lanka, Bhutan, Nepal, and Maldives. Different rulers or the empire of different periods have built ...
  • An In-Depth Analysis of Convolutional Neural Network Architectures with Transfer Learning for Skin Disease Diagnosis 
    Sadik, Rifat; Majumder, Anup; Biswas, Al Amin; Ahammad, Bulbul; Rahman, Md. Mahfujur (Elsevier, 2023-01-24)
    Low contrasts and visual similarity between different skin conditions make skin disease recognition a challenging task. Current techniques to detect and diagnose skin disease accurately require high-level professional ...
  • Incept-N 
    Junayed, Masum Shah; Jeny, Afsana Ahsan; Neehal, Nafis; Ahmed, Eshtiak; Hossain, Syed Akhter (Communications in Computer and Information Science, Springer, 2019-07-16)
    Nationality of a human being is a well-known identifying characteristic used for every major authentication purpose in every country. Albeit advances in application of Artificial Intelligence and Computer Vision in different ...
  • IoT Based Smart Human Traffic Monitoring System Using Raspberry Pi 
    Hussain, M. M. Musharaf; Rahman, Md. Mahfujur; Uddi, Md. Shoreef; Arefin, Mohammad Shamsul (Springer Nature, 2022-10-21)
    Ensuring security is the major concern in this modern era in order to lead a healthy relaxed life. In many commercial and non-commercial sectors, people counting and surveillance are important for ensuring security. The ...
  • Ishara-Bochon 
    Islam, Md. Sanzidul; Mousumi, Sadia Sultana Sharmin; Jessan, Nazmul A.; Rabby, AKM Shahariar Azad; Abujar, Sheikh; Hossain, Syed Akhter (Communications in Computer and Information Science, Springer, 2019-07-20)
    Ishara-Bochon, the first multipurpose comprehensive open access isolated digits dataset for Bangladeshi Sign Language (BdSL) is introduced in this article. Sign language digits is a major part of communication for deaf and ...
  • A Leaf Disease Classification Model in Betel Vine Using Machine Learning Techniques 
    Hasan, Md Zahid (IEEE, 2021-01)
    Betel vine leaves diseases caused by regular endangerment to bacteria which causes a huge yield loss globally. Machine learning, the latest breakthrough in computer vision, is encouraging for fine-grained disease classification, ...
  • Local Vegetable Freshness Classification Based on Chronological Monitoring Using Transfer Learning Approach 
    Abeer, Mahedi Hasan; Lamia, Meherun Nessa; Nafsi, Jannatul Feardous; Chowdhury, Fabia; Anol, Mahi Sarwar; Ahamed, Md. Sazzadur (Springer Nature, 2023-07-22)
    With the advancement of scientific technologies, manual identification for freshness of vegetables is not practical at all as it is time consuming and inaccurate. To solve this issue Implementing a machine vision-based ...
  • Machine Vision Based Potato Species Recognition 
    Nuruzzaman, Md.; Hossain, Md. Shahadat; Rahman, Md. Mostafijur; Shoumik, Ahete Shamul Haque Chowdhury; Khan, Md. Abbas Ali; Habib, Md. Tarek (5th International Conference on Intelligent Computing and Control Systems (ICICCS), IEEE, 2021)
    Potato is one of the tasteful vegetable in the list of our daily delicious food. At present, there are 42000 kind of potatoes available in the world. In Bangladesh, we cultivate 82 species every year. Potatoes are used for ...
  • MatriVasha 
    Ferdous, Jannatul; Karmaker, Suvrajit; Rabby, A. K. M. Shahariar Azad; Hossain, Syed Akhter (Scopus, 2021)
    Bengali or Bangla language is native to Bengal. Bengali speaks their mother tongue, which they feel comfortable. In 1952, UNESCO announced that 21st February is the international mother language day. People remember this ...
  • MobileNet Model for Classifying Local Birds of Bangladesh from Image Content Using Convolutional Neural Network 
    Islam, Md. Romyull; Tasnim, Nishat; Shuvo, Shaon Bhatta (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    To classify bird species is quite a challenging task due to complex interdependence on various factors. There have been numerous attempts at perfecting classification. The aim of our work is to classify bird species from ...
  • Multi-Analyte Detection Based on Integrated Internal and External Sensing Approach 
    Haider, Firoz; Mashrafi, Md.; Aoni, Rifat Ahmmed; Haider, Rakib; Hossen, Moqbull; Ahmed, Tanvir; Mahdiraji, Ghafour Amouzad; Ahmed, Rajib (IEEE, 2021-08-31)
    Action recognition is one of the most important fields in computer vision. Hence, there is an open question of the high accuracy of complex background of human activities. A deep learning approach has recently been used ...
  • Performance Evaluation of Several Transfer Learning Models for Classification of Road Surface State 
    Rahman, Fahim Ur; Ahmed, Md. Tanvir; Khan, Emran; Rahman, Md Mahfuzur; Ahamed, Shafin; Mamun, Shahriar; Hasan, Md Mehedi (Springer Nature, 2023-10-22)
    Using a customized approach, automatic classification of road surface condition and categorized data storing are proposed using DenseNet201. Road surface distress is one of the main issues affecting transportation safety. ...
  • Pigeon Breed Recognition Using Convolutional Neural Network 
    Rahman, Maksudur; Prodhan, Sakeef Ameer; Mia, Md. Jueal; Habib, Md. Tarek; Ahmed, Farruk (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    Pigeon farming is a very familiar business as well as a hobby in Bangladesh. It has a great contribution to our national economy. Sometimes it's a very tough job for us to recognize pigeon breed correctly because some breed ...
  • A Review of Groundbreaking Changes in the Poultry Industry in Bangladesh Using the Internet of Things (IOT) and Computer Vision Technology 
    Faysal, Md. Anowar Hossen; Ahmed, Md. Rasel; Rahaman, Md. Masudur; Ahmed, Fizar (2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), IEEE, 2021-09-08)
    As the number of people increases daily, the requirement for animal meat is also growing in the country. Therefore, the use of technology in the poultry industry is essential to meet all these needs adequately. IOT & ...
  • A Simple and Mighty Arrowhead Detection Technique of Bangla Sign Language Characters with CNN 
    Islam, Md. Sanzidul; Mousumi, Sadia Sultana Sharmin; Rabby, AKM Shahariar Azad; Hossain, Syed Akhter (Scopus, 2020)
    Sign Language is argued as the first Language for hearing impaired people. It is the most physical and obvious way for the deaf and dumb people who have speech and hearing problems to convey themselves and general people. ...

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