2005
DOI: 10.1007/s10044-005-0255-4
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Merging face and finger images for human identification

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Cited by 6 publications
(2 citation statements)
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“…Progress in fuzzy mathematics encourages engineering and other scientists in application fields for presentation of real models such as fuzzy image filtering [1], fuzzy clustering [2,3], fuzzy multivariable nonlinear regression analysis [2] and fuzzy classification [3,4] (Classification is among the most important problem tasks in the realm of data analysis, data mining and machine learning and has many applications in industry, including, e.g., oil spill detection [5], intrusion detection in computer networks [6], breast cancer detection [7], fingerprint identification [8], text document classification [9,10], handwritten Tamil character recognition [11], Epo doping control [12], human identification [13,14] and signature verification [15]). …”
Section: Introductionmentioning
confidence: 99%
“…Progress in fuzzy mathematics encourages engineering and other scientists in application fields for presentation of real models such as fuzzy image filtering [1], fuzzy clustering [2,3], fuzzy multivariable nonlinear regression analysis [2] and fuzzy classification [3,4] (Classification is among the most important problem tasks in the realm of data analysis, data mining and machine learning and has many applications in industry, including, e.g., oil spill detection [5], intrusion detection in computer networks [6], breast cancer detection [7], fingerprint identification [8], text document classification [9,10], handwritten Tamil character recognition [11], Epo doping control [12], human identification [13,14] and signature verification [15]). …”
Section: Introductionmentioning
confidence: 99%
“…The creation of multimodal databases like BiosecurID alleviates one of the main problems in early research works on multimodal biometrics, which is the usage of "chimerical subjects". Due to the difficulty in obtaining large multimodal databases, some researchers have opted in their studies to combine different unimodal databases [4,5], thus using "chimerical subjects" based on the assumption of independence between different biometric traits. This approach has been severely questioned in the literature [6], and is seen by many as a serious methodological flaw [7].…”
mentioning
confidence: 99%