ISSN2456-3315
Impact Factor10.57
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CrossRefDOI
ESTD2016
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Submission: Always Open
Paper Title
AI Based Criminal Identification System
Authors
K.K.S.PRASANTHI , H.MAHIMA , Dr.G.R.S.MURTHY
Keywords
Face Recognition, Criminal Identification, HOG, CNNs, KNN, SVM, Biometric Security.
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
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IJRTI — journal style
"AI Based Criminal Identification System", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 3, page no.a428-a432, March-2025, Available :https://ijrti.org/papers/IJRTI2503055.pdf
APA — 7th edition
K.K.S.PRASANTHI, H.MAHIMA, & Dr.G.R.S.MURTHY. (2025). AI Based Criminal Identification System. International Journal for Research Trends and Innovation, 10(3), a428-a432. https://ijrti.org/viewpaperforall.php?paper=IJRTI2503055
MLA — 9th edition
K.K.S.PRASANTHI, et al. "AI Based Criminal Identification System." International Journal for Research Trends and Innovation, vol. 10, no. 3, 2025, pp. a428-a432, https://ijrti.org/viewpaperforall.php?paper=IJRTI2503055.
Chicago — 17th, bibliography
K.K.S.PRASANTHI, H.MAHIMA, and Dr.G.R.S.MURTHY. "AI Based Criminal Identification System." International Journal for Research Trends and Innovation 10, no. 3 (2025): a428-a432. https://ijrti.org/viewpaperforall.php?paper=IJRTI2503055.
Harvard — author–date
K.K.S.PRASANTHI, H.MAHIMA and Dr.G.R.S.MURTHY (2025) 'AI Based Criminal Identification System', International Journal for Research Trends and Innovation, 10(3), pp. a428-a432. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2503055
IEEE — numbered reference
K.K.S.PRASANTHI, H.MAHIMA and Dr.G.R.S.MURTHY, "AI Based Criminal Identification System," IJRTI, vol. 10, no. 3, pp. a428-a432, Mar. 2025.
Vancouver — biomedical
K.K.S.PRASANTHI, H.MAHIMA, Dr.G.R.S.MURTHY. AI Based Criminal Identification System. IJRTI. 2025 Mar;10(3):a428-a432.
AMA — 11th edition
K.K.S.PRASANTHI, H.MAHIMA, Dr.G.R.S.MURTHY. AI Based Criminal Identification System. IJRTI. 2025;10(3):a428-a432. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2503055
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2503055,
author = {K.K.S.PRASANTHI and H.MAHIMA and Dr.G.R.S.MURTHY},
title = {AI Based Criminal Identification System},
journal = {International Journal for Research Trends and Innovation},
volume = {10},
number = {3},
pages = {a428-a432},
year = {2025},
month = {March},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2503055}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - K.K.S.PRASANTHI
AU - H.MAHIMA
AU - Dr.G.R.S.MURTHY
TI - AI Based Criminal Identification System
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 10
IS - 3
PY - 2025
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2503055
SP - a428-a432
ER -
Issue
Volume 10 Issue 3,
March-2025
Pages : a428-a432
Other Publication Details
Paper Reg. ID
IJRTI_201226
Published Paper ID
IJRTI2503055
Downloads
205,625
Research Area
Computer Science & TechnologyÂ
Country
VISAKHAPATNAM, ANDHRA PRADESH, INDIA
Published
March 2025
Published Paper PDF
https://ijrti.org/papers/IJRTI2503055.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2503055
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
