Research Paper | Computer Science & Engineering | India | Volume 5 Issue 5, May 2016
Iris Recognition Using Wavelet Transform and Neural Networks
Divya Pirale, Manisha Nirgude, Dr. Sachin Gengje
Now a days biometrics gaining popularity because of its higher security and precise authentication process. It is the best medium for recognizing the acquired data with the traditional one. Out of various biometrics such as face, ear, voice, palm, fingerprint, signature, hand geometry, iris recognition has been acknowledged as one of the most accurate biometric modalities because of its high recognition rate. The advantage of working with iris recognition is the iris pattern of an individual is same throughout lifetime. So iris pattern never change irrespective of its surrounding conditions. Hence we present a method of recognizing an iris using wavelet transform and Neural Networks. The paper presents the ANN models and gives respective results and comparisons.
Keywords: Neural network, Iris recognition and wavelet transform
Edition: Volume 5 Issue 5, May 2016
Pages: 1055 - 1060
How to Cite this Article?
Divya Pirale, Manisha Nirgude, Dr. Sachin Gengje, "Iris Recognition Using Wavelet Transform and Neural Networks", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=NOV163612, Volume 5 Issue 5, May 2016, 1055 - 1060
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