An optimized facial recognition model for identifying criminal activities using deep learning strategy

Gokulakrishnan, S.; Chakrabarti, Prasun; Hung, Bui Thanh; Shankar, S. Siva

doi:10.1007/s41870-023-01420-6

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

An optimized facial recognition model for identifying criminal activities using deep learning strategy

Cited by 10 publications

References 34 publications

Enhancing facial geometry analysis by DeepFaceLandmark leveraging ResNet101 and transfer learning

Enhancing facial geometry analysis by DeepFaceLandmark leveraging ResNet101 and transfer learning

Advancing personal identity verification by integrating facial recognition through deep learning algorithms

Face Identification of Suspects Using Sequential -Deep Convolutional Neural Network

Contact Info

Product

Resources

About