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Analysis of fingerprint images for recognition of persons - determining incidence of different greyscale values in pixels and extracting characteristic parameters of living finger
Analysis of fingerprint images for recognition of persons - determining incidence of different greyscale values in pixels and extracting characteristic parameters of living finger
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机译:用于识别人的指纹图像分析-确定像素中不同灰度值的发生率并提取活手指的特征参数
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摘要
The method involves detecting a fingerprint image comprising pixels of different greyscale values using a fingerprint sensor. Further fingerprint images are detected and classified in a predetermined class. A region of pixels is sub-divided into intervals, and the number of pixels whose greyscale values lie in the same interval is determined for each image. A parameter is derived from these numbers and used to classify the fingerprint images into respective classes. Histograms and sum histograms of the incidences of different greyscale values may be determined and a characteristic parameter of a living finger extracted.
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