Identification of Children Using HOG

Abstract

Abstract: Adults often utilize biometric recognition for a variety of tasks that require a personal identification evidence to be validated. Children's biometric identification, however, is still a challenge. In addition to helping find lost children and their families, developing border control systems to stop child trafficking, and assisting electronic recordkeeping systems, addressing this issue helps safeguard children against identity theft and identity fraud. Researchers are gathering biometric data from newborns' fingerprints, irises, and outer ears in order to start creating biometric recognition systems for kids. Children's ear mode was implemented using the hardware and software that were previously utilized for adults. Existing hardware was utilized in iris mode to find iris pictures. In order to capture children's fingerprints and transform the pictures into a backdrop format that complies with current international standards for issuing and comparing minutiae, new image processing gear and software have been created. Based on analyzing the effectiveness of usage and measuring the amount of performance, the benefits and drawbacks of utilizing each of these strategies throughout the first year of life were compared. Recommendations for the usage of each approach were given, despite the fact that they weren't always best practices.