IJIPPR V-12 I-01 2026

International Journal of Image Processing and Pattern Recognition
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International Journal of Image Processing and Pattern Recognition

IJIPPR V-12 I-01 2026

IJIPPR V-12 I-01 2026

PublishedSubscriptionReview Article 2026-02-18

A Comprehensive Review of Convolutional Neural Network Architectures and Evolution

By Swarnali Kundu, Biswasri Datta, Tousif Parvej, Pritam Pal, and Fakruddin Ali Ahmed

Abstract: Convolutional Neural Networks (CNNs) have become a foundational deep learning framework in computer vision because they can automatically extract layered, increasingly complex features directly from raw image data. CNNs use convolutional, pooling, and activation layers to extract spatial patterns from basic edges to intricate object components, drawing inspiration from the human visual cortex. An overview…

Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 32–40Read Article →
PublishedSubscriptionResearch Article 2026-02-18

A Study on CNN-Based Image Mosaicing

By Kazi Kutubuddin Sayyad Liyakat and Heena T Shaikh

Abstract: The intricate tapestry of image mosaicing, while a cornerstone of computer vision, has long been constrained by the rigidity of classical, geometry-driven pipelines. Hand-crafted feature detectors and homography estimators, while effective in controlled environments, prove brittle when confronted with the challenges of real-world scenes: significant parallax, dynamic moving objects, repetitive textures, and illumination variance. This…

PublishedSubscriptionResearch Article 2026-02-18

Advanced Classification of Diabetic Retinopathy Using GAN and Deep Residual CNN Model

By Rama Devi C, Rithanya K.R, Shakti P, and Subhashini G

Abstract: Diabetic retinopathy (DR) is a leading cause of blindness worldwide, impacting the largest number of individuals who have diabetes. Early identification of diabetic retinopathy may help to prevent severe effects; however, the very limited availability of labeled datasets, and the possibility of overfitting of the model, presents obstacles to obtaining an accurate diagnosis. In this…

PublishedSubscriptionResearch Article 2026-02-18

Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons

By Aashi, Shobhit Jaiswal, and Mandeep

Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep…

Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31Read Article →
PublishedSubscriptionResearch Article 2026-02-18

Vani-Adapt: A Zero-Shot Accent Trans-Adaptation Framework for Robust Indic Speech Recognition

By Jyotirmoyee Mandal, Kunal Halder, and Kakali Das

Abstract: In countries like India with multilingual and accent-rich dialects, speech-based human–computer interaction is important to expand digital services for better accessibility. Even with recent advancements in Automatic Speech Recognition (ASR), existing systems are still very reactive to regional accents and non-standard speech patterns which is not suitable for seamless experience. Traditional perspectives rely on accent-specific…

Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 17–22Read Article →