عنوان انگلیسی مقاله:
Palm print identification and classification using KNN algorithm
ترجمه فارسی عنوان مقاله:
شناسایی و طبقه بندی چاپ کف با استفاده از الگوریتم KNN
Sciencedirect - Elsevier - Materials Today: Proceedings, Corrected proof: doi:10:1016/j:matpr:2021:01:804
M. Sowmiya Manoj
The best way of biometric security is face recognition, iris’ recognition, and palm print recognition. Palm recognition is a form of biometric process which is based on the different patterns of different characteristic. As in the case with the patterns in fingers, scanning the palm scanner uses optical, tactile, thermal methods to bring out the details in the patterns of raised areas which are called as ridges and branches called bifurcations, palm recognition is considered as a special type for security purposes as the finger patterns vary from person to person with different characteristics. This is scanned by a scanner or CCD. They can also be used for forensic, criminal, or commercial uses. Palm print gives a better level of accuracy and it is the best biometric way for security purposes. Various classifiers are used to match the palm print with the stored data. This system proposes a KNN classifier to match the current palm print with the existing dataset. This system produces a better result than other matching techniques.© 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the Emerging Trends in Materials Science, Technology and Engineering.
Keywords: Palm print | KNN | Classifier | Accuracy | Biometric