Berachah Hi Vision System

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Biometric Systems or Biometrics, refers to the automatic identification of a person based on his / her anatomical (e.g., fingerprint) or behavioral (e.g., signature) characteristics. This method of identification offers several advantages over traditional methods involving ID cards or PIN numbers (passwords) for various reasons: The person to be identified is required to be physically present at the point-of identification.; Identification based on biometric techniques obviates the need to remember a password or carry a token. With the increased integration of computers and Internet into our everyday lives, it is necessary to protect sensitive and personal data. By replacing PINs (or using biometrics in addition to PINs), biometric techniques can potentially prevent unauthorized access to ATMs, cellular phones, laptops and computer networks. Unlike biometric traits, PINs or passwords may be forgotten and credentials like passports and driver's licenses may be forged, stolen or lost. As a result, Biometric Systems are being deployed to enhance security and reduce financial fraud. Various biometric traits are being used for real-time recognition, the most popular being face, iris and fingerprint. A biometric system is essentially a pattern recognition system which recognizes a user by determining the authenticity of a specific anatomical or behavioral characteristic possessed by the user. Several important issues must be considered in designing a practical biometric system. First, a user must be enrolled in the system so that his biometric template or reference can be captured. This template is securely stored in a central database or a smart card issued to the user. The template is used for matching when an individual needs to be identified. Depending on the context, a biometric system can operate either in a verification (authentication) or an identification mode. Verification vs Identification: There are two different ways to recognize a person: verification and identification. Verification (Am I who I claim I am) involves confirming or denying a person's claimed identity. On the other hand, in identification, the system has to recognize a person (Who am I) from a list of N users in the template database. Identification is a more challenging problem because it involves 1:N matching compared to 1:1 matching for verification.