Add to ORKGThis paper presents an effective fingerprint classification method designed based on a hierarchical agglomerative clustering technique. The performance of the technique was evaluated in terms of several real-life datasets and a significant improvement in reducing the misclassification error has been noticed. This paper also presents a query based faster fingerprint search method over the clustered fingerprint databases. The retrieval accuracy of the search method has been found effective in light of several real-life databases. Key words
This paper proposes novel exclusive and continuous approaches to guide the search and the retrieval ...
Abstract. Due to the large size that fingerprint databases generally have, the reduction of the sear...
This paper proposes the Enhanced Shrinking and Expanding Algorithm (ESEA) with a new categorisation ...
Fingerprint identification has been a great challenge due to its complex search of database. This pa...
In a fingerprint identification system, a person is identified only by his fingerprint. To accomplis...
Fingerprints as a kind of human biometrics feature have been widely used for personal recognition in...
Latent fingerprint identification is one of the leading forensic activities to clarify criminal acts...
[[abstract]]In this paper, we present a fast and precise method for fingerprint classification. The ...
Fingerprint recognition has been a hot research topic along the last few decades, with many applicat...
Abstract — Fingerprint classification provides an important indexing mechanism in a fingerprint data...
Fingerprint classification provides an important indexing mechanism in a fingerprint database. An ac...
Automatic identification based on fingerprints requires the input fingerprint to be matched with a l...
Automatic Fingerprint Identification Systems (AFISs) are widely used for criminal investigations for...
This paper describes a new fingerprint indexing approach based on vector and scalar features, obtain...
To determine the source camera of a query image, the fingerprint from the query image needs to be co...
This paper proposes novel exclusive and continuous approaches to guide the search and the retrieval ...
Abstract. Due to the large size that fingerprint databases generally have, the reduction of the sear...
This paper proposes the Enhanced Shrinking and Expanding Algorithm (ESEA) with a new categorisation ...
Fingerprint identification has been a great challenge due to its complex search of database. This pa...
In a fingerprint identification system, a person is identified only by his fingerprint. To accomplis...
Fingerprints as a kind of human biometrics feature have been widely used for personal recognition in...
Latent fingerprint identification is one of the leading forensic activities to clarify criminal acts...
[[abstract]]In this paper, we present a fast and precise method for fingerprint classification. The ...
Fingerprint recognition has been a hot research topic along the last few decades, with many applicat...
Abstract — Fingerprint classification provides an important indexing mechanism in a fingerprint data...
Fingerprint classification provides an important indexing mechanism in a fingerprint database. An ac...
Automatic identification based on fingerprints requires the input fingerprint to be matched with a l...
Automatic Fingerprint Identification Systems (AFISs) are widely used for criminal investigations for...
This paper describes a new fingerprint indexing approach based on vector and scalar features, obtain...
To determine the source camera of a query image, the fingerprint from the query image needs to be co...
This paper proposes novel exclusive and continuous approaches to guide the search and the retrieval ...
Abstract. Due to the large size that fingerprint databases generally have, the reduction of the sear...
This paper proposes the Enhanced Shrinking and Expanding Algorithm (ESEA) with a new categorisation ...