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• [P668] Feature Selection for Sensor Interoperability: A Case Study in Fingerprint Segmentation
  Author(s): Ren Chunxiao, Yilong Yin, Jun Ma, Gongping Yang
  
  

  Abstract
  The need for sensor interoperability has increased tremendously in many fingerprint large-scale application areas such as e-commerce, welfare-disbursement and e-education. However, the problem of feature selection for sensor interoperability has received limited attention in the literature. No systematic study has been conducted to ascertain its effect on biometric systems. In this paper, the relationships within person, sensor and feature are discussed. Especially, a feature selection method for sensor interoperability is proposed in this paper. Some experimental results of feature's sensor interoperability in fingerprint segmentation are presented as a case study. Experiments have shown that the various features exhibit different sensor interoperability on different sensors.

  
   

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