An efficient method for the extraction of closed and open pores in fingerprint images
| Autor: | Nadia Smaoui, Houda Khmila, Imen Khanfir, Houda Derbel |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Biometrics
Computer science business.industry 020208 electrical & electronic engineering Fingerprint (computing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION High resolution Context (language use) Pattern recognition 02 engineering and technology Field (computer science) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Technological advance Artificial intelligence State (computer science) Automated fingerprint identification business |
| Zdroj: | SSD |
| DOI: | 10.1109/ssd.2019.8893238 |
| Popis: | Biometrics is a rising field in which technology improves our capacity to identify an individual. Protecting consumers against fraud or theft is one of the goals of biometrics. The benefit of biometric authentication is that each person has its own physical features which can't be modified, robbed or lost. The fingerprint is among the features that prove unique to an individual, especially, with the technological advancement of the sensors, the high-resolution fingerprint images are growing well known; the pores have been observed to be one of the brilliant nominees in enhancing the efficiency of automated fingerprint identification systems to keep up a high state of security. Our work is presented in this context. In fact, this paper proposes a new method based on morphologic operations aiming at extracting pores in high resolution fingerprint images. The proposed approach consists to extract the two types of pores (open and closed) by two different methods. We evaluate our approach on the PolyU-HRF database, and we compare the result to the existing methods in the literature. |
| Databáze: | OpenAIRE |
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