Published Paper Details:

Colour detection is the process of detecting the name of any colour. Human eyes and brains work together to translate light into colour. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the colour. But one of the limitations of human brain is that it cannot recognize all the shades of colours. But, through this process we can detect even the shades of most of the colours (approximately around 1500) by placing an target object for which the colour should be detected in front of the camera. We are formulating a process/algorithm through which we can produce faster results in Iris detection by first considering the colour of the Iris and then scanning the user data with the reduced data through scale invariant feature transform (SIFT). Iris is one of the unique features which can be distinguished between two different individuals. Since the Iris feature are unique, this can be used in Biometric applications. Fingerprint biometrics are efficient, but one need to move to Iris scanning for the biometrics because this method is more hygienic and accurate.