Outputs (25)

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.

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. (in press). A New Approach for Speech Emotion Recognition using Single Layered Convolutional Neural Network. Malaysian journal of computer science,

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.

NDOrder: Exploring a Novel Decoding Order for Scene Text Recognition (2024)
Journal Article
Zhong, D., Zhan, H., Lyu, S., Liu, C., Yin, B., Palaiahankote, S., …Lu, Y. (2024). NDOrder: Exploring a Novel Decoding Order for Scene Text Recognition. Expert systems with applications, 249, https://doi.org/10.1016/j.eswa.2024.123771

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.

An Adaptive Xception Model for Classification of Brain Tumors (2024)
Journal Article
Thakur, A., Bhatia Khan, S., Palaiahnakote, S., Kumar V, V., Almusharraf, A., & Mashat, A. (in press). An Adaptive Xception Model for Classification of Brain Tumors. International Journal of Pattern Recognition and Artificial Intelligence,

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 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 Classification of Spices to make Special Herbal Tea using Caralluma Fimbriata (2024)
Journal Article
Kumar, P. P., Palaiahnakote, S., & Patil, R. (in press). A New Approach for Classification of Spices to make Special Herbal Tea using Caralluma Fimbriata. International Journal of Pattern Recognition and Artificial Intelligence,

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.

Domain Independent Adaptive Histogram Based Features for Pomegranate Fruit and Leaf Diseases Classification Double blind (2024)
Journal Article
Palaiahnakote, S. (in press). Domain Independent Adaptive Histogram Based Features for Pomegranate Fruit and Leaf Diseases Classification Double blind. #Journal not on list,

Disease identification for fruits and leaves in the field of agriculture is important for estimating production, crop yield and earnings for farmers. In the specific case of pomegranates, this is challenging because of the wide range of possible dise... Read More about Domain Independent Adaptive Histogram Based Features for Pomegranate Fruit and Leaf Diseases Classification Double blind.

HLB Disease Detection in Omani Lime Trees Using Hyperspectral Imaging Based Techniques (2024)
Journal Article
Menezes, J., Dharmalingam, R., & Shivakumara, P. (2024). HLB Disease Detection in Omani Lime Trees Using Hyperspectral Imaging Based Techniques. https://doi.org/10.1007/978-3-031-53085-2_7

In the recent years omani acid lime cultivation and production has been affected by Citrus greening or Huanglongbing (HLB) disease. HLB disease is one of the most destructive diseases for citrus with no remedies or countermeasures to stop the disease... Read More about HLB Disease Detection in Omani Lime Trees Using Hyperspectral Imaging Based Techniques.

A novel autoencoder for structural anomalies detection in river tunnel operation (2023)
Journal Article
TAN, X., Palaiahnakote, S., Chen, W., Cheng, K., & Du, B. (2024). A novel autoencoder for structural anomalies detection in river tunnel operation. Expert systems with applications, 244, https://doi.org/10.1016/j.eswa.2023.122906

Anomaly diagnosis is essential to prevent disasters and ensure long-term stable operation of tunnels. However, the diversity and scarcity of abnormal data make it difficult to identify outliers, especially to diagnose structural anomalies from poor-q... Read More about A novel autoencoder for structural anomalies detection in river tunnel operation.