Aim: The proposed model helps in recognizing accurately human palm in cybercrime
analysis using Naive Bayes (NB) and Polynomial Regression (PR) and palm recognition is …

Aim: Main purpose for research work accurately recognizing human palm in cybercrime
analysis using Naive Bayes (NB) and Decision Tree (DT) and palm recognition helps to …

The detection of human features can be achieved using various techniques. There are many
demerits in the detection and in the process of maintaining the forensic tasks. So the …

Biometrics based person authentication methods are getting wide acceptance and they are
replacing passwords because they are unique and secure. Palm print based person …

Biometric system is considered of an important type of security systems nowadays, because
it relays on the individual traits (physical or behavioral) non-participation between any two …

The goal is to make palm print identification more efficient using the Naive Bayes and CNN
algorithms. The following are the materials and methods used in this study. Because the …

Personal recognition is meant for finding a way for establishment of connections between
the person and his/her biometrical features. Such system is depending various data types …

Rapid developments in technology can affect humanity both positively and negatively.
Especially with the increase in crimes committed in cyber environments, important security …

The use of palms in the self-recognition process can be difficult to fake and tends to be
stable because it has unique characteristics. Because of the unique characteristics of the …

The aim of this research is to enhance the accuracy of biometric palm print identification by
using the Novel ResNet50 Algorithm as compared to the X Gradient Boosting. Materials and …