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— Understanding the difficulty of a dataset is of primary importance when it comes to testing and evaluating fingerprint recognition systems or algorithms because the evaluation result is dependent on the dataset. Proposed in this paper is a general framework of assessing the level of difficulty of fingerprint datasets based on quantitative measurements of(More)
Keywords: Level of difficulty Fingerprint dataset Biometric similarity score Sample quality Relative sample quality Common area a b s t r a c t Understanding the difficulty of a dataset is of primary importance when it comes to testing and evaluating fingerprint recognition systems or algorithms because the evaluation result is dependent on the dataset. The(More)
Real-time detection of fire flame in video scenes from a surveillance camera offers early warning to ensure prompt reaction to devastating fire hazards. Many existing fire detection methods based on computer vision technology have achieved high detection rates, but often with unacceptably high false-alarm rates. This paper presents a reliable visual(More)
This paper proposes a real-time fire detection algorithm for video surveillance. Firstly, candidate fire regions (CFRs) are detected using modified conventional methods, that is, the detection of moving regions and fire-colored pixels. In order to avoid false alarms, effective color and shape-based features are extracted from CFRs. Then, the set of features(More)