All Outputs (63)

An efficientnet-based model for classification of oil palm, coconut and banana trees in drone images (2025)
Journal Article

Oil palm tree detection and classification from coconut and banana trees is vital for increasing the production of oil palm businesses globally, particularly in Malaysia. Since oil palm, coconut, and banana trees share common characteristics such as... Read More about An efficientnet-based model for classification of oil palm, coconut and banana trees in drone images.

Zero-Shot Low-Light Image Enhancement Via Joint Frequency Domain Priors Guided Diffusion (2025)
Journal Article

Due to the singularity of real-world paired datasets and the complexity of low-light environments, this leads to supervised methods lacking a degree of scene generalisation. Meanwhile, limited by poor lighting and content guidance, existing zero-shot... Read More about Zero-Shot Low-Light Image Enhancement Via Joint Frequency Domain Priors Guided Diffusion.

A Novel Topic Modelling Framework for Automated Surveying of Computer Vision Research in Prostate Cancer Detection (2025)
Journal Article

Retrieving the relevant information or material makes a big difference in the medical field because it is necessary to acquire updates on recent findings and inferences so that the practitioners can understand the state-of-the-art topics. Thus, extra... Read More about A Novel Topic Modelling Framework for Automated Surveying of Computer Vision Research in Prostate Cancer Detection.

Struck-Out Handwritten Word Detection and Restoration for Automatic Descriptive Answer Evaluation (2025)
Journal Article
Zhong, D., Palaiahnakote, S., Pal, U., & Lu, Y. (2025). Struck-Out Handwritten Word Detection and Restoration for Automatic Descriptive Answer Evaluation. Signal Processing: Image Communication, https://doi.org/10.1016/j.image.2024.117214

Unlike objective type evaluation, descriptive answer evaluation is challenging due to unpredictable answers and free writing style of answers. Because of these, descriptive answer evaluation has received special attention from many researchers. Autom... Read More about Struck-Out Handwritten Word Detection and Restoration for Automatic Descriptive Answer Evaluation.

A New Genetic Algorithm‐Based Network for Text Localization in Degraded Social Media Images (2025)
Journal Article

ABSTRACTThis paper presents a novel model for understanding social image content through text localization. For text localization, we explore maximally stable extremal regions (MSER) for detecting components that work by clustering pixels with simila... Read More about A New Genetic Algorithm‐Based Network for Text Localization in Degraded Social Media Images.

A New Hybrid Wavelet Decomposition-based Networks for Script Identification in Scene Images (2025)
Journal Article

Script identification is challenging because of the unpredictable nature of the scene text. This paper presents a new model for achieving accurate script identification irrespective of intra and inter-class variations. The distinct features that repr... Read More about A New Hybrid Wavelet Decomposition-based Networks for Script Identification in Scene Images.

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.

A Newly Adopted YOLOv9 Model for Detecting Mould Regions Inside of Buildings (2024)
Journal Article

Molds on wall and ceiling surfaces in damp indoor environments especially in houses with poor insulation and ventilation are common in the UK. Since it releases toxic chemicals as it grows, it is a serious health hazard for occupants who live in such... Read More about A Newly Adopted YOLOv9 Model for Detecting Mould Regions Inside of Buildings.

A Novel Infogain and Multi-Axial Wavelet-Based Transformer for Personality Trait Question Answering (2024)
Journal Article
Biswas, K., Palaiahnakote, S., Bhattacharya, S., Pal, U., & Sarkar, R. (2024). A Novel Infogain and Multi-Axial Wavelet-Based Transformer for Personality Trait Question Answering. International Journal of Pattern Recognition and Artificial Intelligence, https://doi.org/10.1142/s0218001424510236

Visual Question Answering (VQA) is one of the attractive topics in the field of multimedia, affective, and empathic computing to garner user interest. Unlike existing models which aim at addressing challenges of VQA for the scene images, this work ai... Read More about A Novel Infogain and Multi-Axial Wavelet-Based Transformer for Personality Trait Question Answering.

Spatial-Frequency Based EEG Features for Classification of Human Emotions (2024)
Journal Article

Human emotion classification without bias and unfairness is challenging because most existing image-based methods are directly or indirectly affected by subjectivity. Therefore, we propose an EEG (Electroencephalogram) based model for an accurate emo... Read More about Spatial-Frequency Based EEG Features for Classification of Human Emotions.

Domain‐independent adaptive histogram‐based features for pomegranate fruit and leaf diseases classification (2024)
Journal Article
Prajwala, M., Palaiahnakote, S., Prajwal Kumar, P., Maheshwarappa Gopinath, S., Basavanna, M., & P. Lopresti, D. (2024). Domain‐independent adaptive histogram‐based features for pomegranate fruit and leaf diseases classification. CAAI Transactions on Intelligence Technology, https://doi.org/10.1049/cit2.12390

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.

A Comprehensive Review on Text Detection and Recognition in Scene Images (2024)
Journal Article

Detecting and recognizing text in natural scene images and videos is vital for several real-world applications, such as in the analysis of Crime scene CCTV footage, sports videos, and autonomous driving, to name a few. Therefore, one can expect sever... Read More about A Comprehensive Review on Text Detection and Recognition in Scene Images.

A New Contrastive Learning-Based Vision Transformer for Sentiment Analysis Using Scene Text Images (2024)
Journal Article
Palaiahnakote, S., Kapri, D., Saleem, M. H., & Pal, U. (2024). A New Contrastive Learning-Based Vision Transformer for Sentiment Analysis Using Scene Text Images. International Journal of Pattern Recognition and Artificial Intelligence, https://doi.org/10.1142/s0218001424520293

Sentiment analysis using scene text images is complex and challenging because it has an arbitrary background, and the method should rely on only visual features. Unlike most existing methods that use either text or images or both, this study uses onl... Read More about A New Contrastive Learning-Based Vision Transformer for Sentiment Analysis Using Scene Text Images.

Oil Palm Tree Detection in UAV Imagery Using an Enhanced RetinaNet (2024)
Journal Article

21 Accurate inventory management of oil palm trees is crucial for optimizing yield and monitoring 22 the health and growth of plantations. However, detecting and counting oil palm trees, particularly 23 young trees that blend into complex environment... Read More about Oil Palm Tree Detection in UAV Imagery Using an Enhanced RetinaNet.

A novel domain independent scene text localizer (2024)
Journal Article

Text localization across multiple domains is crucial for applications like autonomous driving and tracking marathon runners. This work introduces DIPCYT, a novel model that utilizes Domain Independent Partial Convolution and a Yolov5-based Transforme... Read More about A novel domain independent scene text localizer.

A New Symmetry-Based Transformer for Text Spotting in Person and Vehicle Re-Identification Images (2024)
Journal Article
Choudhury, A. P., Palaiahnakote, S., & Pal, U. (2024). A New Symmetry-Based Transformer for Text Spotting in Person and Vehicle Re-Identification Images. International Journal of Pattern Recognition and Artificial Intelligence, https://doi.org/10.1142/s0218001424550115

Text spotting in person and vehicle re-identification images is complex due to the presence of multiple views of the same person and vehicle. Most existing models focus on text spotting in natural scene images, our work focuses on spotting in person... Read More about A New Symmetry-Based Transformer for Text Spotting in Person and Vehicle Re-Identification Images.

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.