Published Paper Details:

Attendance management systems have started to use portable biometric technology to improve their accuracy, efficiency, and security. This paper reviews the approaches and advancements in attendance management systems that use portable biometrics. It highlights the challenges faced by traditional attendance systems and stresses the need for more reliable solutions. It then explains various types of biometrics used in portable attendance systems, such as fingerprint, facial recognition, iris scanning, and voice recognition, along with their pros and cons. The paper also discusses how mobile devices, like smartphones and tablets, have been integrated into attendance systems, making attendance tracking more convenient and widespread. The review addresses security and privacy concerns associated with biometric data storage and transmission in mobile environments, and the regulations governing their implementation. Additionally, the paper examines recent developments in portable biometric technology, such as machine learning algorithms for better recognition accuracy and biometric integration methods for improved reliability. Finally, the review concludes with insights into future research directions and emerging trends in the field, including multimodal biometrics, wearable devices, and the integration of the Internet of Things (IoT) for comprehensive attendance management solutions. Overall, this study provides an in-depth overview of attendance management systems that use portable biometric technology, offering valuable insights to researchers, practitioners, and policymakers in the field.