Abstract
Biometric recognition systems or human identification are very important in security access for identification and verification systems. The biometric recognition system can be used as an identification system based on the characteristics possessed by the body part of each individual. The soles of the feet can be used for identification because the soles of the feet have certain and unique characteristics which include major lines, protrusions, small dots, single points, and textures. The introduction of biometrics in babies is still conventional, which is a standard operating procedure such as attaching bracelets on baby's feet and imprinting or inking on the soles of baby's feet which are affixed to paper and are very vulnerable to the risk of damage or loss of data, there is a need for a system that can store data automatically digital and able to do the baby identification process. The Principal Component Analysis method is used for the extraction process of the characteristics of the baby's feet. The classification uses the K-Nearest Neighbor (K-NN) method with the euclidean distance approach. Tests were carried using 120 images of baby feet, there are 20 classes, each class contains 3 images of the right foot and 3 images of the foot of the left foot, and a dataset of 280 training images. The highest accuracy result obtained in system testing is 91% with a computation time of 5.63 seconds using the Principal Component Analysis method with the K-Nearest Neighbor (K-NN) classification.Keywords: Footprint, Feature Extraction, Principal Component Analysis, K-Nearest Neighbor.
Highlights
IntroductionHospitals or health centers in Indonesia still use conventional biometric identification which is standard operating procedures such as attaching bracelets on baby's feet and imposing stamps or ink on the soles of baby's feet which are affixed to paper and are very vulnerable to the risk of damage or loss of data.[1] The conventional identification system should be replaced by a more efficient biometric recognition system using computer vision technology
The digital biometrics system is one of the important systems to be developed to help develop the introduction of digital biometrics, one of which is in the medical world in Indonesia
The soles of the baby's feet are entered into the system in the form of test data compared to all the footprint data in the database, namely training data and from the characteristics of the eigenvectors and eigenvalues obtained from the results of feature extraction using the Principal Component Analysis method closest to the test data will be selected as the owner of the baby's feet and the name of the selected baby will appear in the system as the owner of the identified foot
Summary
Hospitals or health centers in Indonesia still use conventional biometric identification which is standard operating procedures such as attaching bracelets on baby's feet and imposing stamps or ink on the soles of baby's feet which are affixed to paper and are very vulnerable to the risk of damage or loss of data.[1] The conventional identification system should be replaced by a more efficient biometric recognition system using computer vision technology. The pattern of the soles of the feet is unique to each person or individual. The research aims to identify because the stages of the research carried out are the process of researching, looking for, finding, recording, and recognizing factual data or someone in the soles of the baby's feet
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