Titlebook: Computational Forensics; 4th International Wo Hiroshi Sako,Katrin Y. Franke,Shuji Saitoh Conference proceedings 2011 Springer Berlin Heidel

Ankylo-

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https://doi.org/10.1007/3-540-30799-0e for training the seal verification algorithms and testing the proposed verification system. Experiments showed that the symbolic representation method was superior to traditional SVM classifier in this task. Experiments also showed that our statistical feature was very powerful for seal verification application.

裙帶關(guān)系

ambivalence

Gestalt Aspects of Security PatternsA recently emerging new family of neural network architectures, based on the model of neural group processing, on the contrary, shows even in its mostly still premature state (from engineering point of view) already a much stronger relevance to the modeling of Gestalt aspects.

細(xì)胞

Physical Security Technologies at Hitachiicit drugs and chemical weapons. In addition, we developed a small mass spectrometer that can detect human breath. This simple method is useful for preventing drunk driving by installing its device just behind a steering wheel.

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種族被根除

A Novel Seal Imprint Verification Method Based on Analysis of Difference Images and Symbolic Represee for training the seal verification algorithms and testing the proposed verification system. Experiments showed that the symbolic representation method was superior to traditional SVM classifier in this task. Experiments also showed that our statistical feature was very powerful for seal verification application.

魅力

Extraction of 3D Shape of a Tooth from Dental CT Images with Region Growing Methodh or a dental enamel by the mean shift clustering. Then, some segments in the certain tooth is extracted as a certain region by the region growing method. Finally, the contour of the tooth is specified by applying the active contour method, and the shape of the tooth is extracted.

mosque

代理人

Asymptotic Expansion and Weak Convergence,ssifier; then, locate the corresponding source parts from copyrighted images using a feature matching method. The experimental results have proved the effectiveness of proposed method for detecting similar partial copies from complex backgrounds.