All Outputs (6)

A New Method for Detecting Altered Text in Document Images (2020)
Conference Proceeding
Nandanwar, L., Shivakumara, P., Pal, U., Lu, T., Lopresti, D., Seraogi, B., & B. Chaudhuri, B. (2020). A New Method for Detecting Altered Text in Document Images. In Pattern Recognition and Artificial Intelligence (93-108). https://doi.org/10.1007/978-3-030-59830-3_8

As more and more office documents are captured, stored, and shared in digital format, and as image editing software becomes increasingly more powerful, there is a growing concern about document authenticity. For example, texts in property documents c... Read More about A New Method for Detecting Altered Text in Document Images.

A New DCT-FFT Fusion Based Method for Caption and Scene Text Classification in Action Video Images (2020)
Conference Proceeding
Nandanwar, L., Shivakumara, P., Manna, S., Pal, U., Lu, T., & Blumenstein, M. (2020). A New DCT-FFT Fusion Based Method for Caption and Scene Text Classification in Action Video Images. In Pattern Recognition and Artificial Intelligence. https://doi.org/10.1007/978-3-030-59830-3_7

Achieving better recognition rate for text in video action images is challenging due to multi-type texts with unpredictable backgrounds. We propose a new method for the classification of captions (which is edited text) and scene texts (which is part... Read More about A New DCT-FFT Fusion Based Method for Caption and Scene Text Classification in Action Video Images.

A new unified method for detecting text from marathon runners and sports players in video (PR-D-19-01078R2) (2020)
Journal Article
Nag, S., Shivakumara, P., Pal, U., Lu, T., & Blumenstein, M. (2020). A new unified method for detecting text from marathon runners and sports players in video (PR-D-19-01078R2). Pattern recognition, 107, https://doi.org/10.1016/j.patcog.2020.107476

Detecting text located on the torsos of marathon runners and sports players in video is a challenging issue due to poor quality and adverse effects caused by flexible/colorful clothing, and different structures of human bodies or actions. This paper... Read More about A new unified method for detecting text from marathon runners and sports players in video (PR-D-19-01078R2).

Saliency-based bit plane detection for network applications (2020)
Journal Article
Asadzadeh Kaljahi, M., Shivakumara, P., Hakak, S., Yamani Idna Idris, M., Hossein Anisi, M., & Rajan, D. (2020). Saliency-based bit plane detection for network applications. Multimedia Tools and Applications, 79, 18495–18513. https://doi.org/10.1007/s11042-020-08741-9

Transmitting image data without losing significant information is challenging for any network application especially when large color images are transmitted through TCP communication protocol. This is due to network limitations such as buffer overflo... Read More about Saliency-based bit plane detection for network applications.

A text-context-aware CNN network for multi-oriented and multi-language scene text detection (2020)
Conference Proceeding
Xiao, Y., Xue, M., Lu, T., Wu, Y., & Palaiahnakote, S. (2020). A text-context-aware CNN network for multi-oriented and multi-language scene text detection. In 2019 International Conference on Document Analysis and Recognition (ICDAR). https://doi.org/10.1109/ICDAR.2019.00116

The existing deep learning based state-of-theart scene text detection methods treat scene texts a type of general objects, or segment text regions directly. The latter category achieves remarkable detection results on arbitrary orientation and large... Read More about A text-context-aware CNN network for multi-oriented and multi-language scene text detection.

Compressive sensing based convolutional neural network for object detection (2020)
Journal Article
Wu, Y., Meng, Z., Palaiahnakote, S., & Lu, T. (2020). Compressive sensing based convolutional neural network for object detection. Malaysian journal of computer science, 33(1), 78-89. https://doi.org/10.22452/mjcs.vol33no1.5

Deep neural networks (DNN) have shown significant performance in several domains including computer vision and machine learning. Convolutional Neural Networks (CNN), known as a particular type of DNN, have shown their promising potentials in discover... Read More about Compressive sensing based convolutional neural network for object detection.