Rough-fuzzy based scene categorization for text detection and recognition in video

Roy, Sangheeta; Shivakumara, Palaiahnakote; Jain, Namita; Khare, Vijeta; Dutta, Anjan; Pal, Umapada; Lu, Tong

doi:10.1016/j.patcog.2018.02.014

All Outputs (3)

A new Local Fractional Entropy-Based model for kidney MRI image enhancement (2018)
Journal Article
Al-Shamasneh, A. R., Jalab, H. A., Palaiahnakote, S., Hanum Obaidellah, U., Ibrahim, R. W., & El-Melegy, M. T. (2018). A new Local Fractional Entropy-Based model for kidney MRI image enhancement. Entropy, https://doi.org/10.3390/e20050344

Kidney image enhancement is challenging due to the unpredictable quality of MRI images, as well as the nature of kidney diseases. The focus of this work is on kidney images enhancement by proposing a new Local Fractional Entropy (LFE)-based model. T... Read More about A new Local Fractional Entropy-Based model for kidney MRI image enhancement.

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.

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.