Efficient bi-traits identification using CEDRNN classifier for forensic applications

•Several operations are handled for bi-traits-centered offender identification.•Image quality is highly increased by the proposed method of offender identification.•The system solves the computation issues of tree structure part model.•A new way is used for weight value selection in DNN.•To prove th...

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Veröffentlicht in:	Expert systems with applications 2022-09, Vol.202, p.117313, Article 117313
Hauptverfasser:	Johnson, Jyothi, Chitra, R., Bamini, A.M. Anusha
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Crime Criminal investigation Deep neural network Entropy (Information theory) Facial image identification Feature extraction Fingerprint identification Forensic computing Forensic evidence Forensic science Image contrast Neural networks Optimization
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