Outputs (21)

A New Unsupervised Approach for Text Localization in Shaky and Non-shaky Scene Video (2024)
Presentation / Conference Contribution

Text Detection in shaky and non-shaky videos is challenging due to poor video quality and the presence of static and dynamic obstacles. Video captured by a shaky camera due to wind is considered shaky video, while video captured by a fixed camera is... Read More about A New Unsupervised Approach for Text Localization in Shaky and Non-shaky Scene Video.

Sffl: Self-Aware Fairness Federated Learning Framework for Heterogeneous Data Distributions (2024)
Working Paper
Zhang, J., Li, Y., Wu, D., Zhao, Y., & Palaiahnakote, S. Sffl: Self-Aware Fairness Federated Learning Framework for Heterogeneous Data Distributions

Recent years have witnessed increasing development towards federated learning. However, federated learning has been proven to show biased predictions against certain demographic groups, such as sex or race, especially under heterogeneous data distrib... Read More about Sffl: Self-Aware Fairness Federated Learning Framework for Heterogeneous Data Distributions.

An Adaptive Xception Model for Classification of Brain Tumors (2024)
Journal Article

Classification of different brain tumors is challenging due to unpredictable variations in intra-inter-classes. Unlike existing methods which are not effective for images of complex backgrounds, the proposed work aims at accurate classification of di... Read More about An Adaptive Xception Model for Classification of Brain Tumors.

A New Approach for Classification of Spices to Make Special Herbal Tea Using Caralluma Fimbriata (2024)
Journal Article
Kumar, P. P., Palaiahnakote, S., & Patil, R. (2024). A New Approach for Classification of Spices to Make Special Herbal Tea Using Caralluma Fimbriata. International Journal of Pattern Recognition and Artificial Intelligence, https://doi.org/10.1142/s0218001424570039

Classification of multiple types of spice images is automatically challenging due to conflict between the texture patterns of spice images. This work aims to develop an automatic system for classifying different types of spice images so that the syst... Read More about A New Approach for Classification of Spices to Make Special Herbal Tea Using Caralluma Fimbriata.

TANet: Text region attention learning for vehicle re-identification (2024)
Journal Article
Hu, W., Zhan, H., Shivakumara, P., Pal, U., & Lu, Y. (2024). TANet: Text region attention learning for vehicle re-identification. Engineering Applications of Artificial Intelligence, 133, https://doi.org/10.1016/j.engappai.2024.108448

In recent years, the challenge of distinguishing vehicles of the same model has prompted a shift towards leveraging both global appearances and local features, such as lighting and rearview mirrors, for vehicle re-identification (ReID). Despite advan... Read More about TANet: Text region attention learning for vehicle re-identification.

Altered Handwritten Text Detection in Document Images Using Deep Learning (2024)
Journal Article
Patil, G., Palaiahnakote, S., Gornale, S. S., & Lopresti, D. P. (2024). Altered Handwritten Text Detection in Document Images Using Deep Learning. International Journal of Pattern Recognition and Artificial Intelligence, https://doi.org/10.1142/s0218001424520062

Handwritten documents possess immense significance in domains such as law, history, and administration. However, they are vulnerable to forgery, which can undermine their credibility and reliability. This paper aims to establish a dependable techniqu... Read More about Altered Handwritten Text Detection in Document Images Using Deep Learning.

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.

NDOrder: Exploring a Novel Decoding Order for Scene Text Recognition (2024)
Journal Article

Text recognition in scene images is still considered as a challenging task for the computer vision and pattern recognition community. For text images affected by multiple adverse factors, such as occlusion (due to obstacles) and poor quality (due to... Read More about NDOrder: Exploring a Novel Decoding Order for Scene Text Recognition.

A Robust Script Independent Handwriting System for Gender Identification (2024)
Journal Article
Palaiahnakote, S., Kaljahi, M. A., Kanchan, S., Pal, U., Lopresti, D., & Lu, T. (2024). A Robust Script Independent Handwriting System for Gender Identification. Expert systems with applications, 249, https://doi.org/10.1016/j.eswa.2024.123576

Gender identification at the word level in a multi-script environment is challenging due to variations posed by free-style handwriting of individuals and geographical differences in writing styles. This paper presents a new approach, Multi-Orientatio... Read More about A Robust Script Independent Handwriting System for Gender Identification.

A New Approach for Speech Emotion Recognition using Single Layered Convolutional Neural Network (2024)
Journal Article
Vinoth Kumar, V., Palaiahnakote, S., Khan, S. B., & Almusharraf, A. (2024). A New Approach for Speech Emotion Recognition using Single Layered Convolutional Neural Network. Malaysian journal of computer science, 37(1), 89–106. https://doi.org/10.22452/mjcs.vol37no1.5

Creating a computational device to identify human emotions via voice analysis represents a notable achievement in the sector of human-computer interaction, especially within the healthcare domain. We propose a new lightweight model for addressing cha... Read More about A New Approach for Speech Emotion Recognition using Single Layered Convolutional Neural Network.