Learn More
We propose a method of personal identification based on finger-vein patterns. An image of a finger captured under infrared light contains not only the vein pattern but also irregular shading produced by the various thicknesses of the finger bones and muscles. The proposed method extracts the finger-vein pattern from the unclear image by using line tracking(More)
A biometrics system for identifying individuals using the pattern of veins in a finger was previously proposed. The system has the advantage of being resistant to forgery because the pattern is inside a finger. Infrared light is used to capture an image of a finger that shows the vein patterns, which have various widths and brightnesses that change(More)
We developed intelligent functions for the automatic description of video structure, and visualization methods for temporal-spatial video structures obtained by these functions as well as for the functions. The functions offer descriptions of cut separations, motion of the camera and filmed objects, tracts and contour lines of objects, existence of objects,(More)
We describe a new method that can quickly search an entire video. This method is used to first detect every shot change of a target video in real time. Then unique frame sequence features at the shot changes are found. The method we have developed and described enables real-time scene retrieval. It may also be an appropriate basis for an information filter(More)
A new method t o extract vein patterns from an unclear finger image is proposed. Finger vein pattern can be used for personal identification technology. The finger vein image that is captured with infrared light contains not only the vein patterns but also irregular shades and noises. They result from the different thickness between finger bones and muscles(More)
A novel method for finger-vein authentication based on feature-point matching is proposed and evaluated. A finger-vein image captured by infrared light contains artifacts such as irregular shading and vein posture deformation that can degrade accuracy of finger-vein authentication. Therefore, a method is proposed for extracting features from vein patterns(More)
The history of machine vision and its applications pioneered by the authors and their colleagues at Hitachi during the past three decades is reviewed. A variety of applications, especially in factory automation and office automation, were made possible by the evolution of real-time image-processing techniques. In recent years, social automation is becoming(More)
  • 1