作者: Dinesh Kumar Vishwakarma , Divyansh Jain , Shantanu Rajora
DOI: 10.1109/CCAA.2017.8229995
关键词: Euclidean distance 、 Iris recognition 、 RGB color model 、 Gabor filter 、 Finite impulse response 、 Image segmentation 、 Computer science 、 Grayscale 、 Pattern recognition 、 Feature extraction 、 Artificial intelligence
摘要: The objective of this paper is to introduce a new integrated methodology for iris detection and recognition using two fold method deduce better results as compared the existing techniques. primarily employs Finite Impulse Response(FIR) Gabor wavelet transform computing fundamentals. figurative classification in proposed algorithm on basis euclidean distance. Thus solely works construing distances test sample with respect that samples data set either procedures. Further least distance measured considered perfect match input sample. As result extensive testing implementation algorithm/methodology paper, satisfactory accuracy are obtained tested Self Generated Dataset. focus extensively all available retrievable from human iris, specifically red, green blue segments, i.e RGB scheme unlike traditional based wiz. computation grayscale inputs, thus contrary, presented suitable color coding pattern FIR(Finite Response) addition filter texture technique.