Automatic fingerprint classification scheme using template matching with new set of singular point-based features
Fingerprint classification is a technique used to assign fingerprints into five established classes namely Whorl, Left loop, Right loop, Arch and Tented Arch based on their ridge structures and singular points’ trait. Although some progresses have been made thus far to improve accuracy rates, proble...
Saved in:
主要作者: | Abbood, Alaa Ahmed |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2014
|
主題: | |
在線閱讀: | http://eprints.utm.my/id/eprint/77820/1/AlaaAhmedAbboodPFC2014.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Fingerprint classification : a BI-resolution approach to singular point extraction
由: Leong, Chung Ern
出版: (2004) -
An automatic fingerprint classification technique based on singular points and structure shape of orientation fields
由: Saparudin, Saparudin
出版: (2012) -
An Algorithm for Fingerprint Classification Using Template Matching Technique
由: Al-Kaissi, Ahmed Wathik Naji
出版: (2002) -
An enhanced fingerprint template protection scheme
由: Siswanto, Apri
出版: (2022) -
Passive operating system fingerprinting based on multi-layered sub-signature matching scheme (MLSMS).
由: Aljammal, Ashraf Hamdan Rashid
出版: (2011)