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Prof Apostolos Antonacopoulos' Outputs (51)

A new deep CNN for 3D text localization in the wild through shadow removal (2023)
Journal Article
Shivakumara, P., Banerjee, A., Nandanwar, L., Pal, U., Antonacopoulos, A., Lu, T., & Blumenstein, M. (2024). A new deep CNN for 3D text localization in the wild through shadow removal. Computer Vision and Image Understanding, 238, https://doi.org/10.1016/j.cviu.2023.103863

Text localization in the wild is challenging due to the presence of 2D and 3D texts, the presence of shadows, arbitrary orientated text with non-linear arrangements, varying lighting conditions as well as complex background. This paper proposes the f... Read More about A new deep CNN for 3D text localization in the wild through shadow removal.

Soft set-based MSER end-to-end system for occluded scene text detection, recognition and prediction (2024)
Journal Article
Das, A., Palaiahnakote, S., Banerjee, A., Antonacopoulos, A., & Pal, U. (2024). Soft set-based MSER end-to-end system for occluded scene text detection, recognition and prediction. Knowledge-Based Systems, https://doi.org/10.1016/j.knosys.2024.112593

The presence of unpredictable occlusions on natural scene text is a significant challenge, exacerbating the difficulties already posed on text detection and recognition by the variability of such images. Addressing the need for a robust, consistently... Read More about Soft set-based MSER end-to-end system for occluded scene text detection, recognition and prediction.

TTS: Hilbert Transform-based Generative Adversarial Network for Tattoo and Scene Text Spotting (2024)
Journal Article
Banerjee, A., Palaiahnakote, S., Antonacopoulos, A., Pal, U., Lu, T., & Canet, J. L. (2024). TTS: Hilbert Transform-based Generative Adversarial Network for Tattoo and Scene Text Spotting. IEEE Transactions on Multimedia, 1-15. https://doi.org/10.1109/tmm.2024.3378458

Text spotting in natural scenes is of increasing interest and significance due to its critical role in several applications, such as visual question answering, named entity recognition and event rumor detection on social media. One of the newly emerg... Read More about TTS: Hilbert Transform-based Generative Adversarial Network for Tattoo and Scene Text Spotting.

Text line segmentation from struck-out handwritten document images (2022)
Journal Article
Shivakumara, P., Jain, T., Pal, U., Surana, N., Antonacopoulos, A., & Lu, T. (2022). Text line segmentation from struck-out handwritten document images. Expert systems with applications, 210, 118266. https://doi.org/10.1016/j.eswa.2022.118266

In the case of freestyle everyday handwritten documents, writing, erasing, striking out, and overwriting are common behaviors of the writers. This not cleanly-written text poses significant challenges for text line segmentation. Accurate text line se... Read More about Text line segmentation from struck-out handwritten document images.

Exploiting available domain knowledge to improve the retrieval and recommendation of Digital Cultural Heritage materials (2021)
Thesis
Usman, M. Exploiting available domain knowledge to improve the retrieval and recommendation of Digital Cultural Heritage materials. (Thesis). University of Salford

Cultural Heritage (CH) institutions, such as museums, have recently embraced computing techniques to digitise CH materials (artefacts, paintings, books etc) and to make accessible those digital representations through their online portals to millions... Read More about Exploiting available domain knowledge to improve the retrieval and recommendation of Digital Cultural Heritage materials.

Computer analysis for registration and change detection of retinal images (2021)
Thesis
Elmuntser, A. Computer analysis for registration and change detection of retinal images. (Thesis). University of Salford

The current system of retinal screening is manual; It requires repetitive examination of a large number of retinal images by professional optometrists who try to identify the presence of abnormalities. As a result of the manual and repetitive nature... Read More about Computer analysis for registration and change detection of retinal images.

VISE : an interface for Visual Search and Exploration of museum collections (2019)
Journal Article
Usman, M., & Antonacopoulos, A. (2020). VISE : an interface for Visual Search and Exploration of museum collections. Journal on Computing and Cultural Heritage, 12(4), 1-9. https://doi.org/10.1145/3340936

This article presents VISE, an interface that enables VIsual Search and Exploration across collections of approximately 836,000 museum objects extracted from the websites of the National Museums Scotland and the Rijksmuseum in the Netherlands. VISE p... Read More about VISE : an interface for Visual Search and Exploration of museum collections.

Efficient and effective OCR engine training (2019)
Journal Article
Clausner, C., Antonacopoulos, A., & Pletschacher, S. (2020). Efficient and effective OCR engine training. International Journal on Document Analysis and Recognition, 23(1), 73-78. https://doi.org/10.1007/s10032-019-00347-8

We present an efficient and effective approach to train OCR engines using the Aletheia document analysis system. All components required for training are seamlessly integrated into Aletheia: training data preparation, the OCR engine’s training proces... Read More about Efficient and effective OCR engine training.

Towards the extraction of statistical information from digitised numerical tables - the Medical Officer of Health reports scoping study (2019)
Presentation / Conference Contribution

Numerical data of considerable significance is present in historical documents in tabular form. Due to the challenges involved in the extraction of this data from the scanned documents it is not available to researchers in a useful representation tha... Read More about Towards the extraction of statistical information from digitised numerical tables - the Medical Officer of Health reports scoping study.

Highlights of the novel dewaterability estimation test (DET) device (2019)
Journal Article
Scholz, M., Almuktar, S., Clausner, C., & Antonacopoulos, A. (2020). Highlights of the novel dewaterability estimation test (DET) device. Environmental Technology, 41(20), 2594-2602. https://doi.org/10.1080/09593330.2019.1575916

Many industries, which are producing sludge in large quantities, depend on sludge dewatering technology to reduce the corresponding water content. A key design parameter for dewatering equipment is the capillary suction time (CST) test, which has, ho... Read More about Highlights of the novel dewaterability estimation test (DET) device.

ICFHR 2018 Competition on recognition of historical Arabic scientific manuscripts - RASM2018 (2018)
Presentation / Conference Contribution

This paper presents an objective comparative evaluation of page analysis and recognition methods for historical scientific manuscripts with text in Arabic language and script. It describes the competition (modus operandi, dataset and evaluation metho... Read More about ICFHR 2018 Competition on recognition of historical Arabic scientific manuscripts - RASM2018.

Security and usability in a hybrid property based graphical authentication system (2018)
Thesis
Suru, H. (in press). Security and usability in a hybrid property based graphical authentication system. (Thesis). University of Salford

Alphanumeric text and PINs continue to be the dominant authentication methods in spite of the numerous concerns by security researchers of their inability to properly address usability and security flaws and to effectively combine usability and secur... Read More about Security and usability in a hybrid property based graphical authentication system.