Voice Recognition Door Access Control System

摘要

This study reviews how voice recognition can be used in making it easier for people with disabilities to access door systems and provide better security to lives and properties. Popular Biometric technology includes iris scan, fingerprint scan and facial recognition. These biometric identifiers are unique and distinctive based on features and characteristics used to identify different individuals for the safety and security of their lives and properties. Unfortunately, these biometrics can be hacked. An individual's finger can be cut off to perform fingerprint scan, an eye ball can be removed to perform an iris scan, a pin or password can be hacked, and a picture of the individual can be used to perform facial recognition. These setbacks can be averted with voice recognition biometrics technology. Voice biometrics technology is more accurate, faster and more convenient. The goal of this research study is to develop a door access control system that uses voice recognition algorithms to provide people with a quick way to unlock their doors and at the same time ensure their safety and security. The system consists of two phases which are the testing phase and the training phase. The training phase is when properties from a speech is extracted and stored in a database. During the testing phase, the intents from an individual's speech would be extracted using voice recognition algorithms and matched to voice models. If a match is found, then a user is granted access.