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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: AI Based Criminal Identification System
Authors Name: K.K.S.PRASANTHI , H.MAHIMA , Dr.G.R.S.MURTHY
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IJRTI_201226
Published Paper Id: IJRTI2503055
Published In: Volume 10 Issue 3, March-2025
DOI: http://doi.one/10.1729/Journal.44106
Abstract: Criminal identification remains a crucial aspect of law enforcement, but existing face recognition techniques often struggle with accuracy due to variations in facial features, lighting conditions, and occlusions. Traditional approaches, such as Haar Cascade and Histogram of Oriented Gradients with K-Nearest Neighbors, exhibit limitations in precision and robustness. This paper proposes an enhanced AI-driven system that integrates HOG and Convolutional Neural Networks (CNNs) for feature extraction, combined with a hybrid KNN-Support Vector Machine (SVM) classification model. Additionally, Multi-task Cascaded Convolutional Neural Networks (MTCNNs) are used for facial alignment. The proposed system significantly out performs conventional approaches in terms of Classification Models, making it highly effective for law enforcement applications
Keywords: Face Recognition, Criminal Identification, HOG, CNNs, KNN, SVM, Biometric Security.
Cite Article: "AI Based Criminal Identification System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.a428-a432, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503055.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2503055
Registration ID:201226
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.44106
Page No: a428-a432
Country: VISAKHAPATNAM, ANDHRA PRADESH, INDIA
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503055
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503055
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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