An Integrated Soft Computing Approach to a Multi-biometric Security Model
This work addresses security and efficiency challenges in biometric systems, but it appears incremental as it builds on existing soft computing and fusion methods.
The research tackled the problem of improving multi-biometric security by developing a novel technique for comparing biographical information using edit distances and proposing a universal soft computing framework for adaptive fusion of biometric and biographical data, resulting in improved accuracy and efficiency by fusing less reliable information only when necessary.
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.