Feature Selection for Sensor Interoperability: A Case Study in Fingerprint Segmentation

Chunxiao Ren, 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. In this paper, the relationships among person, sensor and feature are discussed. Especially, a feature selection method for sensor interoperability is proposed. Some experimental results of feature selection for sensor interoperability in fingerprint segmentation are presented as a case study. Experiments show that the various features exhibit different sensor interoperability on different sensors.