Detection of IRIS Image using EMD Approach

IRIS recognition is one of the most reliable techniques in biometrics for human identification. Iris recognition techniques have been used widely by governments, such as the Aadhaar project in India. This paper presents a biometric recognition system based on the iris of a human eye using wavelet transform. The proposed system includes three modules: image preprocessing, feature extraction, and recognition modules. The feature extraction module adopts the gradient directions (i.e., angles) on wavelet transform as the discriminating texture features. We present a new approach for detecting and matching iris crypts for the human-in-the-loop iris biometric system. Our proposed approach produces promising results on all the three tested datasets, in-house dataset. The identification result obtained using the EMD approach illustrates the success of its efficient use in iris recognition. A fast iris localization method like rectangular area method is used. Using this method, iris segmentation is performed in short time.