Analogizing the Thinning Algorithm and Elicitation of Vascular Landmark in Retinal Images
| Autor: | J. Shiny Priyadarshini, D. Gladis |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Minutiae
Landmark Biometrics Thinning business.industry Computer science Feature extraction 0102 computer and information sciences 02 engineering and technology 01 natural sciences Human-Computer Interaction 010201 computation theory & mathematics Artificial Intelligence Feature (computer vision) Distortion cardiovascular system 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Segmentation Artificial intelligence business Software |
| Zdroj: | International Journal of Cognitive Informatics and Natural Intelligence. 10:29-37 |
| ISSN: | 1557-3966 1557-3958 |
| DOI: | 10.4018/ijcini.2016070103 |
| Popis: | The retinal tissue is composed of network of blood vessels forming a unique biometric pattern. Feature extraction in retinal blood vessel is becoming an emerging trend in the field of personal identification. Because of its unique identity and less vulnerability to noise and distortion it has become one of the most secured biometric identities. The paper highlights the segmentation of blood vessel and the extraction of feature points such as termination and bifurcation points using Zhang Suen's thinning algorithm in retinal images. A comparison has been made and results are analyzed and tabulated between Zhang Suen and Morphological thinning. The count has been taken for both termination and bifurcation markings as spurious and non- spurious minutiae. The spurious minutiae are removed by using the crossing number method. The results clearly depict that the Zhang Suen's thinning algorithm gives better result when compared to morphological thinning. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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