Abstract: One important part of the eye that is critical for processing visual information before it is sent through the optic nerve to the visual cortex is the retina. The retina of each individual has its own uniqueness that can be used as a characteristic feature in identifying, verifying, and authenticating. The traditional authentication process has various weaknesses such as forgetting the PIN code or losing the ID card used for obtaining system authentication. The results of extracted retinal blood vessels can be used as a feature in the formation of an individual identification system. In the imaging using a fundus camera, the retina’s blood vessel has distinguishing shape and number of candidates from one human retina to another. In this research, researchers will develop an algorithm for extracting the retinal fundus image’s blood vessels. The feature extraction is done by taking the fundus image feature which is the blood vessel as one of the unique characteristics in forming an individual identification system. The number of blood vessel candidates will then be calculated from the extracted blood vessel result. This research uses wavelet function by looking at the very complex texture of blood vessels using the approximation coefficient. The direction detail coefficient on the wavelet is also used to perform the extraction of retinal blood vessels where the structure of the retinal blood vessels in the fundus image is in all directions. The results of these blood vessel candidates will be used in further research to formulate a biometric system that is formed by unique features in the retinal fundus image which will be used to identify individuals using body traits.

Diana Tri Susetianingtias, Sarifuddin Madenda, Fitrianingsih, Dea Adlina, Rodiah and Rini Arianty, “Retinal Blood Vessel Extraction using Wavelet Decomposition” International Journal of Advanced Computer Science and Applications(IJACSA), 11(4), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110448

@article{Susetianingtias2020,
title = {Retinal Blood Vessel Extraction using Wavelet Decomposition},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110448},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110448},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {4},
author = {Diana Tri Susetianingtias and Sarifuddin Madenda and Fitrianingsih and Dea Adlina and Rodiah and Rini Arianty}
}