Soft Biometrics; Human Identification Using Comparative Descriptions

Soft biometrics are a new form of biometric identification which use physical or behavioral traits that can be naturally described by humans. Unlike other biometric approaches, this allows identification based solely on verbal descriptions, bridging the semantic gap between biometrics and human desc...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence 2014-06, Vol.36 (6), p.1216-1228
Main Authors:	Reid, Daniel A., Nixon, Mark S., Stevenage, Sarah V.
Format:	Article
Language:	eng
Subjects:	Applied sciences Biometric identification Biometric Identification - methods Biometrics Body Size Bridging Color comparisons Computer science control theory systems Computer systems and distributed systems. User interface Data processing. List processing. Character string processing Databases, Factual Descriptions Exact sciences and technology Face Female gait biometrics Human human descriptions Humans Image Processing, Computer-Assisted - methods Iris recognition Labels Male Materials handling Memory organisation. Data processing Pattern analysis Programming languages regression Regression Analysis Reliability Representations retrieval Semantics Soft biometrics Software Support Vector Machine Surveillance
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Summary:	Soft biometrics are a new form of biometric identification which use physical or behavioral traits that can be naturally described by humans. Unlike other biometric approaches, this allows identification based solely on verbal descriptions, bridging the semantic gap between biometrics and human description. To permit soft biometric identification the description must be accurate, yet conventional human descriptions comprising of absolute labels and estimations are often unreliable. A novel method of obtaining human descriptions will be introduced which utilizes comparative categorical labels to describe differences between subjects. This innovative approach has been shown to address many problems associated with absolute categorical labels-most critically, the descriptions contain more objective information and have increased discriminatory capabilities. Relative measurements of the subjects' traits can be inferred from comparative human descriptions using the Elo rating system. The resulting soft biometric signatures have been demonstrated to be robust and allow accurate recognition of subjects. Relative measurements can also be obtained from other forms of human representation. This is demonstrated using a support vector machine to determine relative measurements from gait biometric signatures-allowing retrieval of subjects from video footage by using human comparisons, bridging the semantic gap.
ISSN:	0162-8828 1939-3539