Artificial Intelligence in Image Recognition: Context of Machine Vision

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Notice

nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]25/09/2025 at 2:15 PM[/if 2224] | [if 1553 equals=””] Volume : 12 [else] Volume : 12[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03 | Page : 01 06

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    Atish Kumar Pandey, Manpreet Kaur, Kulwinder Kaur, Suman Rani,

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  1. Student, Assistant Professor, Assistant Professor, Assistant Professor, Faculty of Computing, Guru Kashi University, Talwandi Sabo, Faculty of Computing, Guru Kashi University, Talwandi Sabo, Faculty of Computing, Guru Kashi University, Talwandi Sabo, Faculty of Computing, Guru Kashi University, Talwandi Sabo, Punjab, Punjab, Punjab, Punjab, India, India, India, India

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Abstract

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nThe machine learning discipline is as old as decades, but some problems such as image recognition, location detection, image classification, image generation, speech recognition, and natural language processing cannot be solved. Image classification studies are another basic, most classic and essential line of research in deep learning. Computer intelligent recognition of the images technology has enabled a gradual reaction (updating) to foreign measurement trends, which promotes advancement of different areas of investigation. The broad usage of the image processing technology is a machine-learning-based approach that provides solutions in different spheres by carrying out the operations on features extraction, classification tasks, segmentation functions, and recognition tasks. Image recognition technology has been applied in the transportation industry in license plate recognition. These identify plates in a complex background and segment the characters and identify them to produce automatic non-license plate algorithms and the greater feature is that it enhances speed in detecting license plates. License plate training sample set diversity and the high generation rates make strong classifier training possible. In addition to license plate recognition accuracy, the anti-interference capability is also significantly enhanced by means of the deployment of genetic algorithm optimization in the BP neural network classification framework.nn

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Keywords: Artificial intelligence (AI), machine learning (ML), deep learning, neural networks, computer vision, image processing, pattern recognition, feature extract

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Image Processing & Pattern Recognition Progress ]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Image Processing & Pattern Recognition Progress (joipprp)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
nAtish Kumar Pandey, Manpreet Kaur, Kulwinder Kaur, Suman Rani. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]Artificial Intelligence in Image Recognition: Context of Machine Vision[/if 2584]. Journal of Image Processing & Pattern Recognition Progress. 19/09/2025; 12(03):01-06.

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How to cite this URL:
nAtish Kumar Pandey, Manpreet Kaur, Kulwinder Kaur, Suman Rani. [if 2584 equals=”][226 striphtml=1][else]Artificial Intelligence in Image Recognition: Context of Machine Vision[/if 2584]. Journal of Image Processing & Pattern Recognition Progress. 19/09/2025; 12(03):01-06. Available from: https://journals.stmjournals.com/joipprp/article=19/09/2025/view=0

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Review Article

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Volume 12
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03
Received 26/05/2025
Accepted 23/06/2025
Published 19/09/2025
Retracted
Publication Time 116 Days

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