Deep Learning for Cultural Heritage: A Mobile App for Monument Recognition Using Convolutional Neural Networks

Authors

  • Md. Samaun Hasan Daffodil International University, Dhaka, Bangladesh; Rajshahi University, Rajshahi, Bangladesh; Jahangirnagar University, Savar, Bangladesh; Visva-Bharati University, Santiniketan, West Bengal, India https://orcid.org/0000-0002-5914-5728
  • Md. Salah Uddin Daffodil International University, Dhaka, Bangladesh https://orcid.org/0000-0001-6785-7226
  • Kazi Jahid Hasan Daffodil International University, Dhaka, Bangladesh https://orcid.org/0000-0001-6819-6925
  • Mizanur Rahman Daffodil International University, Dhaka, Bangladesh
  • Mohammad Ali Rajshahi University, Rajshahi, Bangladesh

DOI:

https://doi.org/10.3991/ijim.v19i03.50935

Keywords:

Machine Learning,

Abstract


Convolutional neural networks (CNN) has multi-dimensional features that are inextricably interrelated to the extraordinary identification of visionary objects. Humans have a thirst of eagerness to know about ancient monuments. CNN can be a suitable tool for this purpose, in addition to some image processing approaches. This study has developed a mobile application for monument identification in two classes. The prominent contributions have been performed in the data preprocessing and feature extraction requirement using the Canny approach. In addition, CNN has been applied for the utmost level of recognition of the inputted visionary image to the mobile application using CNN. The proposed mechanism has obtained 90.68% accuracy in the testing period as its utmost accuracy result. The coagulation of CNN and other cutting-edge technology has enhanced the performance of the developed application. Moreover, these features have introduced this implementation as a comparatively desired and required app in daily utilization.

Author Biographies

Md. Samaun Hasan, Daffodil International University, Dhaka, Bangladesh; Rajshahi University, Rajshahi, Bangladesh; Jahangirnagar University, Savar, Bangladesh; Visva-Bharati University, Santiniketan, West Bengal, India

  1. Md. Samaun Hasan, Assistant Professor in the Department of Multimedia and Creative Technology, at Daffodil International University, brings a diverse background as an artist, art critic, connoisseur, historian, and faculty member with a passion for fostering creativity and critical thinking, Dr. Hasan is committed to enhancing student performance through innovative teaching methods. Eager to contribute to the academic sphere, he seeks challenging opportunities to showcase his expertise and dedication. Driven by a desire to cultivate a dynamic learning environment, he aims to inspire students to explore and push the boundaries of their creative potential. With a focus on interdisciplinary research, Dr. Hasan seeks to bridge the gap between art and technology, contributing valuable insights to the field.

Md. Salah Uddin, Daffodil International University, Dhaka, Bangladesh

  1. Salah Uddin serves as an Assistant Professor within the Multimedia and Creative Technology Department at Daffodil International University in Dhaka, Bangladesh. His academic credentials include a Master's degree in System and Software Engineering obtained from the National Research University- Higher School of Economics (NRU HSE) in Moscow, Russia. Currently, he is engaged as a PhD Research Fellow at Graz University of Technology in Austria. Mr. Uddin boasts a commendable track record of publications across various domains, including High-Performance Computing, the iSCSI Protocol, Big Data, Cloud Computing, Network Storage Solutions (including NAS, SAN, iSCSI), Android Games, and Musical Applications. Additionally, he has contributed significantly as a Google Mentor.

Kazi Jahid Hasan, Daffodil International University, Dhaka, Bangladesh

  1. Kazi Jahid Hasan holds the position of Lecturer (Senior Scale) within the Multimedia and Creative Technology Department at Daffodil International University in Dhaka, Bangladesh. With a Master's degree in Computer Science and Engineering from the same institution, he brings a wealth of expertise to his role. Mr. Hasan's diverse background includes proficiency as a 3D artist, Animator, and CG Artist, alongside his responsibilities as a faculty member. He has established a commendable track record of publications spanning various domains such as High-Performance Computing, Animation, Android Games, AR, VR UI & UX Design, and Musical Applications. Additionally, his contributions as a Google Mentor underscore his dedication to sharing knowledge and fostering talent in the field.

Mizanur Rahman, Daffodil International University, Dhaka, Bangladesh

  1. Mizanur Rahman excels not only as an Assistant Professor at Daffodil International University but also as a dedicated researcher pursuing his PhD at Jagannath University in Dhaka. With a wide-ranging research focus encompassing image processing, typography, art, education, and animation, Mizanur demonstrates a passion for exploring diverse aspects of visual communication. Before his academic pursuits, he honed his skills in the fast-paced environment of an advertising agency, gaining invaluable industry experience. Mizanur Rahman's remarkable contributions to graphic design have earned him numerous awards and recognition, underscoring his commitment to excellence in the field.

Mohammad Ali, Rajshahi University, Rajshahi, Bangladesh

Mohammad Ali, a distinguished Professor in the Department of Graphic Design, Crafts, and History of Art at Rajshahi University, Bangladesh, boasts a multifaceted background as an artist, art critic, connoisseur, historian, and esteemed faculty member. Committed to nurturing creativity and critical thinking, Dr. Ali is dedicated to elevating student performance by employing innovative teaching methodologies. He actively seeks opportunities to contribute to the academic community, driven by a passion for fostering a vibrant learning environment. With a keen focus on interdisciplinary research, Dr. Ali endeavors to bridge the gap between art and technology, offering valuable insights to the field. His ultimate goal is to inspire students to delve into their creative potential and explore new horizons. Eager to push the boundaries of knowledge, Dr. Ali remains steadfast in his pursuit of challenging opportunities to showcase his expertise and unwavering dedication.

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Published

2025-02-12

How to Cite

Hasan, M. S., Uddin, M. S., Hasan, K. J., Rahman, M., & Ali, M. (2025). Deep Learning for Cultural Heritage: A Mobile App for Monument Recognition Using Convolutional Neural Networks. International Journal of Interactive Mobile Technologies (iJIM), 19(03), pp. 22–40. https://doi.org/10.3991/ijim.v19i03.50935

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Papers