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1. Fingerprint recognition: A fingerprint is made up of ridges and furrows. Uniqueness is

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1. Fingerprint recognition: A fingerprint is made up of ridges and furrows. Uniqueness is determined by ridges, furrows, the minutiae points. Fingerprint is one of oldest and most popular recognition technique. Every individual possesses unique finger patterns, even twins has different patterns of rings and furrows.
Fingerprint matching techniques are of three types:
a. Minutiae-based techniques: In these minutiae points are finding and then mapped to their relative position on finger. There are some difficulties like if image is of low quality it is difficult to find minutiae points correctly also it considers local position of ridges and furrows not global [4].
b. Correlation- based method: It uses richer gray scale information. It …show more content…

This technique is called as skin texture analysis. The unique lines, patterns, and spots apparent in a person‘s skin is located. According to tests with this addition, performance in recognizing faces can increase 20 to 25 percent [8].
Advantages:
• Totally non intrusive.
• Easy to store templates
• Socially accepted.
Problems:
• Facial traits vary over time
• Uniqueness is not maintained ex. in case of twins
• Not proper recognition if person has different expressions like slight smiling can affect recognition
• Highly dependent on lightning
Applications:
• General identity verification
• Surveillance
• Access Control

3. Iris recognition: The iris is the elastic, pigmented, connective tissue that controls the pupil. The iris is formed in early life in a process called morphogenesis. Once fully formed, the texture is stable throughout life. It is the most correct biometric recognition system so it is called as king of biometrics. The iris of the eye has a unique pattern, from eye to eye and person to person. Eye color is the color of iris. Iris recognition uses camera technology with subtle infrared illumination to acquire images of the detail-rich, intricate structures of the iris [9].
Advantages:
• Highly accurate.1 chances in 1078 that iris pattern of two individual matches
• Highly scalable as iris structure remains same throughout lifetime
• Small template size so fast matching Problems:
• Iris scanners are relatively expensive
• Scanners can be

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