Titlebook: Image Analysis and Recognition; 9th International Co Aurélio Campilho,Mohamed Kamel Conference proceedings 2012 Springer-Verlag Berlin Heid

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Quality-Based Fingerprint Segmentationn algorithms proposed in the literature normally deal with separation of the background from the foreground. However, low quality foreground regions must also be removed to lower errors in feature extraction, matching and decision modules. In this research work, a quality based fingerprint segmentat

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Entropy in Biometric Face Template Analysismple. This parameter varies from subject to subject, and is not a feature of the whole gallery. The gallery samples of certain subject might be too much similar, just because they are all of excellent quality, due to a systematic acquisitions in well-controlled conditions. In this situation, even a

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Combining Face with Face-Part Detectors under Gaussian Assumptionogeneous visible wavelength (VW) and near infrared (NIR) image data. Evaluations using existing and publicly available Ada- Boost-based individual classifiers on the recently released CASIA-V4 iris distance database of close-up portrait images as well as on YaleB indicate, that (1) single classifier

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Depth Information in Human Gait Analysis: An Experimental Study on Gender Recognitionions. The intent of this database is to provide a public set to explore whether the depth can be used as an additional information source for gait classification purposes. Each video is labelled according to subject, gender and age. Furthermore, for each subject and view point, we provide initial an

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A Depth Camera Based Fall Recognition System for the Elderlyze them early and provide assistance. In this paper we present a novel computer vision based fall recognition system which combines depth map with normal color information. With this combination it is possible to achieve better results as depth map reduces many errors and gives more information abou

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Heuristic and Voxel-Based Signature for Hand Posture Recognition Using a Range Camerarea has considered 2D images which cannot provide a full description of the hand gestures due mainly to self occlusion. The objective of the current study is to increase the number of gestures recognizable in real-time while using a 3D signature. An heuristic and voxel-based signature has been desig