Taking advantage of multi-thread technology provided by multi-core in single processor, this paper describes multi-thread implementation on fingerprint direct-access strategy using local-star-topology-based discriminator features. Multi-thread was applied for data partitioning on hashing add-lookup process, and for work partitioning on similarity score computation. Efficiency of the implementation was achieved, as confirmed by the results of experiments. Using quad-thread of dual-core single processor on last three largest databases on experiment, multi-thread implementation can reduce searching time at relatively constant value around 300 ms compare to its single-thread implementation. This result achieved with relatively same accuracy tre...
Multipattern String Matching problem reports all occurrences of a given set or dictionary of pattern...
Rabin fingerprints are short tags for large objects that can be used in a wide range of applications...
This paper presents an effective fingerprint classification method designed based on a hierarchical ...
This paper describes a comparison study of the proposed fingerprint direct-access strategy using loc...
For current fingerprint indexing schemes, global textures and minutiae structures are usually utiliz...
This paper proposes a new hash-based indexing method to speed up fingerprint identification in large...
Abstract. This paper proposes a new fingerprint matching algorithm for locally deformed fingerprints...
In a fingerprint identification system, a person is identified only by his fingerprint. To accomplis...
Part 3: FORENSIC TECHNIQUESInternational audienceDue to the increasingly massive amounts of data tha...
Nowadays, fingerprint is the most used biometric trait for individuals identification. In this area,...
Due to the quick increase in digital data, especially in mobile usage and social media, data dedupli...
This paper describes a new fingerprint indexing approach based on vector and scalar features, obtain...
In many large chemoinformatics database systems, molecules are represented by long bi-nary fingerpri...
The fingerprint is one kind of biometric. This biometric unique data have to be processed well and s...
The widely used multiple pattern matching algorithms experience severe performance degradation when ...
Multipattern String Matching problem reports all occurrences of a given set or dictionary of pattern...
Rabin fingerprints are short tags for large objects that can be used in a wide range of applications...
This paper presents an effective fingerprint classification method designed based on a hierarchical ...
This paper describes a comparison study of the proposed fingerprint direct-access strategy using loc...
For current fingerprint indexing schemes, global textures and minutiae structures are usually utiliz...
This paper proposes a new hash-based indexing method to speed up fingerprint identification in large...
Abstract. This paper proposes a new fingerprint matching algorithm for locally deformed fingerprints...
In a fingerprint identification system, a person is identified only by his fingerprint. To accomplis...
Part 3: FORENSIC TECHNIQUESInternational audienceDue to the increasingly massive amounts of data tha...
Nowadays, fingerprint is the most used biometric trait for individuals identification. In this area,...
Due to the quick increase in digital data, especially in mobile usage and social media, data dedupli...
This paper describes a new fingerprint indexing approach based on vector and scalar features, obtain...
In many large chemoinformatics database systems, molecules are represented by long bi-nary fingerpri...
The fingerprint is one kind of biometric. This biometric unique data have to be processed well and s...
The widely used multiple pattern matching algorithms experience severe performance degradation when ...
Multipattern String Matching problem reports all occurrences of a given set or dictionary of pattern...
Rabin fingerprints are short tags for large objects that can be used in a wide range of applications...
This paper presents an effective fingerprint classification method designed based on a hierarchical ...