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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 onSalient Contributions is reproduced below.  Salient Contributions  The research presents the following salient contributions:  i. A novel technique has been developed for comparing biographicalinformation, by combining the average impact of Levenshtein,Damerau-Levenshtein, and editor distances. The impact is calculated as theratio of the edit distance to the maximum possible edit distance between twostrings of the same lengths as the given pair of strings. This impact lies inthe range [0, 1] and can easily be converted to a similarity (matching) scoreby subtracting the impact from unity.  ii. A universal soft computing framework is proposed for adaptively fusingbiometric and biographical information by making real-time decisions todetermine after consideration of each individual identifier whether computationof matching scores and subsequent fusion of additional identifiers, includingbiographical information is required. This proposed framework not only improvesthe 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 forvarious available identifiers only when this computation is considerednecessary.  iii. A scientific method for comparing efficiency of fusion strategiesthrough a predicted effort to error trade-off curve.

An Integrated Soft Computing Approach to a Multi-biometric Security Model