A recent trends and analysis of various techniques of false minutiae removal for fingerprint image
| Autor: | Geet Patel, Gaurang Panchal |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Minutiae
021110 strategic defence & security studies Biometrics Biometric system business.industry Computer science Data_MISCELLANEOUS Feature extraction Fingerprint (computing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies Pattern recognition 02 engineering and technology Fingerprint recognition Field (computer science) ComputingMethodologies_PATTERNRECOGNITION Data_GENERAL 0202 electrical engineering electronic engineering information engineering Fingerprint image 020201 artificial intelligence & image processing Artificial intelligence business |
| Zdroj: | 2017 International Conference on Intelligent Sustainable Systems (ICISS). |
| DOI: | 10.1109/iss1.2017.8389258 |
| Popis: | This In the field of Biometrics, Fingerprint is among the most used and well accepted biometric traits. The fingerprint recognition has higher accuracy, reliability and simplicity as compared to other biometric traits. Fingerprint is obtained by a live scan or an offline scan by the biometric System. These systems differentiate stored fingerprint with the obtained fingerprint by comparing their minutiae points. Minutiae are major features of a fingerprint, arising from local ridge discontinuities: ridge endings and ridge bifurcations. Therefore, extraction of true minutiae points in addition to the removal of false minutiae by enhancement of fingerprint image is important. Such research challenge is impacting on complete applications based on fingerprint systems. The scope this paper is presents a survey on different methods of enhancing of fingerprint image as well as the different methods for detection and removal of false minutiae from the fingerprint image. |
| Databáze: | OpenAIRE |
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