Titlebook: Advances in Pattern Recognition; Second Mexican Confe José Francisco Martínez-Trinidad,Jesús Ariel Carra Conference proceedings 2010 Spring

擴(kuò)張

https://doi.org/10.1007/978-3-662-61576-8with poor quality, noisy or rotated images. Recently, novel non-linear composite filters for correlation-based pattern recognition have been introduced. The filters are designed with information from distorted versions of reference object to achieve distortion-invariant recognition. Besides, a non-l

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Entrancing

,Beispiele für Event Processing Languages,torage and/or transmission, can be complicated by the large sizes of the files containing them. In order to tackle this particular situation, . compression .such as JPEG2000 have been employed while preserving the overall perceived image quality. In this paper a strategy based on objective quality m

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出沒

Sprachkonzepte zur Ereignisverarbeitung,ocus iris images are acquired, the performance of the iris recognition is degraded, because iris images don’t have enough feature information. Therefore it’s important to adopt the image quality evaluation method before the image processing. In this paper, it is analyzed and compared four representa

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Antonio Fasano,F. Talamucci,M. Petracconated in iris segmentation phase, they are incorrectly considered as the iris region. Thus, produce false iris pattern information which decreases the recognition rate. In this paper a statistical approach is used to improve iris segmentation phase eliminating this noise from none constrain images,

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