All Outputs (87)

Residual-based approach for authenticating pattern of multi-style diacritical Arabic texts (2018)
Journal Article
Hakak, S., Kamsin, A., Palaiahnakote, S., Tayan, O., Mohd. Yamani Idna Idris, & Zuhaili Abukhir, K. (2018). Residual-based approach for authenticating pattern of multi-style diacritical Arabic texts. PloS one, https://doi.org/10.1371/journal.pone.0198284

Arabic script is highly sensitive to changes in meaning with respect to the accurate arrangement of diacritics and other related symbols. The most sensitive Arabic text available online is the Digital Qur’an, the sacred book of Revelation in Islam th... Read More about Residual-based approach for authenticating pattern of multi-style diacritical Arabic texts.

Cloud of line distribution for arbitrary text detection in scene/video/license plate images (2018)
Presentation / Conference Contribution

Detecting arbitrary oriented text in scene and license plate images is challenging due to multiple adverse factors caused by images of diversified applications. This paper proposes a novel idea of extracting Cloud of Line Distribution (COLD) for the... Read More about Cloud of line distribution for arbitrary text detection in scene/video/license plate images.

Rough-fuzzy based scene categorization for text detection and recognition in video (2018)
Journal Article
Roy, S., Shivakumara, P., Jain, N., Khare, V., Dutta, A., Pal, U., & Lu, T. (2018). Rough-fuzzy based scene categorization for text detection and recognition in video. Pattern recognition, 80, 64-82. https://doi.org/10.1016/j.patcog.2018.02.014

Scene image or video understanding is a challenging task especially when number of video types increases drastically with high variations in background and foreground. This paper proposes a new method for categorizing scene videos into different clas... Read More about Rough-fuzzy based scene categorization for text detection and recognition in video.

A Robust Symmetry-Based Method for Scene/Video Text Detection through Neural Network (2018)
Presentation / Conference Contribution

Text detection in video/scene images has gained a significant attention in the field of image processing and document analysis due to the inherent challenges caused by variations in contrast, orientation, background, text type, font type, non-uniform... Read More about A Robust Symmetry-Based Method for Scene/Video Text Detection through Neural Network.

Modeling spatial layout for scene image understanding via a novel multiscale sum-product network (2016)
Journal Article
Yuan, Z., Wang, H., Wang, L., Lu, T., Palaiahnakote, S., & Lim Tan, C. (2016). Modeling spatial layout for scene image understanding via a novel multiscale sum-product network. Expert systems with applications, https://doi.org/10.1016/j.eswa.2016.07.015

Semantic image segmentation is challenging due to the large intra-class variations and the complex spatial layouts inside natural scenes. This paper investigates this problem by designing a new deep architecture, called multiscale sum-product network... Read More about Modeling spatial layout for scene image understanding via a novel multiscale sum-product network.

Text segmentation in degraded historical document images (2016)
Journal Article
Kavitha, A., Shivakumara, P., Kumar, G., & Lu, T. (2016). Text segmentation in degraded historical document images. Egyptian Informatics Journal, 17(2), 189-197. https://doi.org/10.1016/j.eij.2015.11.003

Text segmentation from degraded Historical Indus script images helps Optical Character Recognizer (OCR) to achieve good recognition rates for Hindus scripts; however, it is challenging due to complex background in such images. In this paper, we prese... Read More about Text segmentation in degraded historical document images.

Multi-oriented text detection for intra-frame in H.264/AVC video (2015)
Presentation / Conference Contribution

Text detection in compressed video has received much attention in recent years due to the effectiveness of DCT coefficients and motion vectors in realizing several applications. In this paper, a new text detection, which utilizes AC coefficients in t... Read More about Multi-oriented text detection for intra-frame in H.264/AVC video.