The human ear is a reliable biometric feature for identification, with an accuracy rate of 99.6%. An algorithm called image ray transformation is used, but poor lighting and viewing angles can cause inaccuracies. Francis Galton developed the first fingerprint identification system in 1888. India has the largest biometric database in the world.
Ears can be used for the identification of humans and have been found to have an accuracy rate of 99.6%. The human ear is thought to be an accurate biometric feature, or a unique anatomical feature used for automatic recognition, because it is less prone to changes caused by aging than fingerprints, which can change over time. An algorithm known as image ray transformation is used to identify a person through the shape of their external ear. Critics of using ears as identification point out that there are potential factors that could cause inaccurate readings, such as poor lighting and viewing angles, as well as hairs clogging the outer ear.
Learn more about identification:
The first person to develop a system for identifying humans through fingerprints was Francis Galton, cousin of Charles Darwin, in 1888.
It is estimated that the average human can recognize 1,500 other human faces.
India is the country with the largest biometric database in the world, with around 200 million fingerprints of its citizens having been voluntarily added into a recognition system with the aim of having the entire population in the database as a means of national identification.
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