The document summarizes a biometric authentication system using fuzzy ART. It discusses traditional authentication methods like passwords and smart cards and introduces biometrics which uses physical and behavioral characteristics to identify individuals. These include fingerprints, iris scans, voice recognition, etc. The system aims to provide accurate, efficient, convenient and robust authentication using emerging biometric technologies like gait recognition. It also provides background on adaptive resonance theory and fuzzy logic which are applied in the system for pattern recognition and biometric authentication.

1. Biometric Authentication System using Fuzzy ART

3. 1. INTRODUCTION Authentication : The process of verifying a person’s identity is called as authentication. Traditional Authentication Systems: Knowledge - Password Possession - Smart card(ID cards) Biometric - Finger Print, Signature

4. What is Biometrics? “ Bio ” – life, “ metrics ” – measures The science of identifying individuals based on physical and/or behavioral characteristics Physical: fingerprint, palm print, hand geometry, iris, retina, face. Behavioral: voice, gait, signature.. All biometric traits have some physical attributes

5. Why use Biometrics? Traditionally… What you have – keys, badges, ID cards. What you know – username/password, PIN, personal info. (SSN, DOB, etc.) Biometrics… What you are – Individual’s Finger print,Face, Voice, Hand Geometry, Signature verification.. Uses Body and its characteristics as Password Which are Permanently associated with user..

6. 1.1.Motivation The motivation is from the emerging and upcoming Biometric authentication technologies like gait which are: Accurate , that is only authorized users have access to data and services. Computationally efficient , which mean that their authentication delay is reasonable and is not complex. Convenient, in the sense that they can’t be lost and no need for remembering them.. Robust , in the sense that, valid users get access and impostors are rejected. User friendly , in the sense that no additional interaction with the system is needed like typing passwords, striping cards..

7. 1.2.Contribution Helps from identity theft, workplace fraud, etc. Personal security (protects personal property) Criminal Identification Cold Cases: Afghan girl Commercial: Laptops, PCs

8. 2.Literature Survey.. Adaptive Resonance Theory: - Adaptive Resonance Theory (ART) was developed by Gross berg (1976) - ART adapts itself by storing input patterns, and tries to match best the input pattern Origins of Fuzzy Logic/Control: - 1964 - Invented in USA by Lotfi Zadeh (Lotfi Aliaskerzadeh), native of Azerbaijan, also with Russian/Turkish/Iranian ancestry. - 1973 - Application to steam engine control, U.K. Ebrahim Mamdani. - 1980's - Enthusiastically accepted in Japan, later in Singapore - 1990's - Neuro-fuzzy applications very popular in Asia. - Fuzzy control applications become widespread in the West - Later on being employed in various fields including computer science for various implementations like pattern recognitions, biometric systems etc

9. Fuzzy ART algorithm

10. Fuzzy ART Modeling

11. 3.Roles & Responsibility K.Koteshwara Reddy - Coding Nagarjuna V.S. - Analysis and Design

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