An Empirical Study on Fingerprint Image Enhancement Using Filtering Techniques and Minutiae Extraction

Autor:	J. Shiny Priyadarshini, D. Gladis
Rok vydání:	2016
Předmět:	Minutiae business.industry Computer science Fingerprint (computing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image (mathematics) Identification (information) Empirical research Distortion Fingerprint image Computer vision Artificial intelligence Noise (video) business
Zdroj:	Proceedings of 2nd International Conference on Intelligent Computing and Applications ISBN: 9789811016448
DOI:	10.1007/978-981-10-1645-5_20
Popis:	The uniqueness of fingerprint provides a secured personal identification mark. Contact less acquisition of fingerprints is gaining popularity due to the ease in capturing the image. They can be easily blurred with noise and distortion. This paper defines filtering techniques in removal of noise and distortion from the blurred images. The paper highlights double enhancing method for image clarity and extraction of true minutiae points which are tabulated and analyzed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b245ecdfeb3e3c0c5d14b22108d6210b https://doi.org/10.1007/978-981-10-1645-5_20 Zobrazit plný text záznamu