Abstract
Individual recognition using biometric technology can be utilized in creating security systems that are important in modern life. The individuals recognition in hospitals generally done by conventional system so it makes more time in taking identity. A newborn baby will proceed an identity tagging after birth process is complete. This identity using a bracelet filled with names and ink stamps on paper that will be prone to damage or crime. The solution is to store the baby's identity data digitally and carry out the baby's identification process. This system can increase safety and efficiency in storing a baby's footprint image. The implementation of baby's footprint image identification starting from the acquisition of baby's footprint image, preprocessing such as selecting ROI size baby's footprint object, feature extraction using wavelet method and classification process using K-Nearest Neighbor (K-NN) method because this method has been widely used in several studies of biometric identification systems. The test data came from 30 classes with 180 images test right and left baby's footprint. The identification results using 200x500 size ROI with level 4 wavelet decomposition get recognition results with an accuracy of 99.30%, 90.17% precision, and 89.44% recall with a test computation time of 8.0370 seconds.
Highlights
Information technology has developed in all fields, one of which is in the health sector, such as using biometric technology
This study aims to create a system for identifying infant identity in tackling criminal acts such as kidnapping or swapping babies during childbirth and creating a digital system that previously still used footprint ink on paper that is damaged or human error
The following process is preprocessing starting from grayscaling, which is converting an RGB image into an image that only has a gray level color, carried cropping is starting by looking for the value threshold so that objects with the background can be distinguished for cutting the Region of Interest (ROI) obtained based on the percentage of the object specified After that, the image size normalization process to uniform the size pixel of the image cropped and speed up the computation process
Summary
Information technology has developed in all fields, one of which is in the health sector, such as using biometric technology. The identification system using conventional baby footprints using ink and paper media. Systems that are still conventional should be replaced with digital biometric recognition systems to recognize individuals optimally and avoid data loss or damage. Biometrics uses data from parts of the human body with special characteristics that make it difficult for others to imitate or steal. The baby's footprint is one part of the body that can be used in an individual identification system. Research on baby feet is rarely used as objects in the identification system, so research is necessary. The main features found on the baby's feet' soles (including lines, protrusions, small dots, single dots, and textures) can be used as feature data to create a baby identification system
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