1 research outputs found
An Integrated Soft Computing Approach to a Multi-biometric Security Model
The abstract of the thesis consists of three sections, videlicet,
Motivation
Chapter Organization
Salient Contributions.
The complete abstract is included with the thesis. The final section on
Salient Contributions is reproduced below.
Salient Contributions
The research presents the following salient contributions:
i. A novel technique has been developed for comparing biographical
information, by combining the average impact of Levenshtein,
Damerau-Levenshtein, and editor distances. The impact is calculated as the
ratio of the edit distance to the maximum possible edit distance between two
strings of the same lengths as the given pair of strings. This impact lies in
the range [0, 1] and can easily be converted to a similarity (matching) score
by subtracting the impact from unity.
ii. A universal soft computing framework is proposed for adaptively fusing
biometric and biographical information by making real-time decisions to
determine after consideration of each individual identifier whether computation
of matching scores and subsequent fusion of additional identifiers, including
biographical information is required. This proposed framework not only improves
the accuracy of the system by fusing less reliable information (e.g.
biographical information) only for instances where such a fusion is required,
but also improves the efficiency of the system by computing matching scores for
various available identifiers only when this computation is considered
necessary.
iii. A scientific method for comparing efficiency of fusion strategies
through a predicted effort to error trade-off curve.Comment: Ph.D. thesis of Prem Sewak Sudhish, Dayalbagh Educational Institute.
The thesis has been formatted for duplex printin