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@article{179689,
        author = {Sujata Labhade and Dr. Bombale G. R. and Nikita Chavan and Prajakta Dukale and Aarti Thorat and Yogita Somase},
        title = {Pattern Recognition using Computer Vision},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {7433-7436},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179689},
        abstract = {This project, “Pattern Recognition using 
Computer Vision” focuses on developing a system 
capable of identifying and interpreting patterns in 
visual data through the use of machine learning 
algorithms. The goal is to address the limitations of 
traditional pattern recognition systems, such as low 
accuracy and inefficiency, by leveraging Logistic 
Regression. The proposed system will be evaluated on 
various datasets, with potential applications in fields 
such as healthcare, security, and autonomous vehicles. 
Pattern recognition is a fundamental aspect of 
computer vision, enabling machines to interpret and 
understand visual data by identifying patterns, objects, 
or features within images. With the advent of deep 
learning the field has seen significant advancements, 
leading to more accurate and efficient systems. This 
project focuses on leveraging these advancements to 
develop a comprehensive pattern recognition system 
that can be applied in various real-world scenarios, 
including image classification, object detection},
        keywords = {Pattern Recognition, Computer Vision,  Logistic Regression, Feature Extraction, Model Accuracy},
        month = {May},
        }