Fast and Efficient Palmprint Identification of a Small Sample within a Full Image
Fuente:
Redalyc
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Artículo científico |
| Langue: | en |
| Publié: |
Instituto Politécnico Nacional
2014
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1876480968309604352 |
|---|---|
| author | Carlos Francisco Moreno - García |
| author_facet | Carlos Francisco Moreno - García |
| contents | Fast and Efficient Palmprint Identification of a Small Sample within a Full Image Carlos Francisco Moreno - García Francesc Serratosa Computación Sub Hough method candidate voting image registration Hungarian algorithm In some fields like forensic research, experts demand that a found sample of an individual can be matched with its full counterpart contained in a database. The found sample may present several characteristics that make this matching more difficult to perform, such as distortion and , most importantly, a very small size. Several solutions have been presented intending to solve this problem, however, big computational effort is required or low recognition rate is obtained. In this paper, we present a fast, simple, and efficient method to relate a small sample of a partial palmprint to a full one using elemental optimization processes and a voting mechanic. Experimen tation sho ws that our method performs with a higher recognition rate than the state of the art method , when trying to identify palmprint samples with a radius as small as 2.64 cm. 2014 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61532985004 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.18 |
| format | Artículo científico |
| id | redalyc_61532985004 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Fast and Efficient Palmprint Identification of a Small Sample within a Full Image Carlos Francisco Moreno - García Computación Sub Hough method candidate voting image registration Hungarian algorithm Fast and Efficient Palmprint Identification of a Small Sample within a Full Image Carlos Francisco Moreno - García Francesc Serratosa Computación Sub Hough method candidate voting image registration Hungarian algorithm In some fields like forensic research, experts demand that a found sample of an individual can be matched with its full counterpart contained in a database. The found sample may present several characteristics that make this matching more difficult to perform, such as distortion and , most importantly, a very small size. Several solutions have been presented intending to solve this problem, however, big computational effort is required or low recognition rate is obtained. In this paper, we present a fast, simple, and efficient method to relate a small sample of a partial palmprint to a full one using elemental optimization processes and a voting mechanic. Experimen tation sho ws that our method performs with a higher recognition rate than the state of the art method , when trying to identify palmprint samples with a radius as small as 2.64 cm. 2014 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61532985004 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.18 |
| title | Fast and Efficient Palmprint Identification of a Small Sample within a Full Image |
| topic | Computación Sub Hough method candidate voting image registration Hungarian algorithm |
| url | https://www.redalyc.org/articulo.oa?id=61532985004 |