Palm print image acquisition device and palm print image positioning and segmenting method

Abstract

The invention provides a palm print image acquisition device and a palm print image positioning and segmenting method. The method comprises the following steps that a trapezoidal marker serves as a template, palm print images are rapidly matched through the image processing algorithm, and a local image required for positioning is found; the optimal threshold value of the local image is worked out, thresholding is conducted on the local image, the local image is converted into a binary image, and the palm contour line of the local image is detected through the eight neighborhood edge tracking algorithm; two contour feature points on the palm contour line are extracted; the connecting line of the two contour feature points serves as the Y axis, the center point of the connecting line serves as O, the perpendicular line of the connecting line serves as the X axis, a reference coordinate system XOY is built, a square box with the fixed size is selected from the position which is parallel to the Y axis and has a fixed distance from the Y axis in the reference coordinate system XOY, the square box servers a template, and a central sub-image is separated from the corresponding position in the original palm print image; normalization is conducted on the central sub-image.

Description

technical field [0001] The invention relates to the field of intelligent security of home appliances, in particular to a fast palmprint image positioning and segmentation method. Background technique [0002] With the continuous improvement of the intelligence of home appliances, the Internet of Things has developed rapidly, and the combination of the Internet of Things and the Internet to realize the remote control of home appliances is the development trend of the Internet of Things. The future Internet of Things will be closely related to people's daily life. Therefore, the security of the Internet of Things is particularly important, and the personal identification of the Internet of Things is the most important aspect of the safe use of the Internet of Things. [0003] Traditional identification methods include two categories: the marker method and the knowledge method. The marker method is to use "only I have" objects to show one's identity, such as personal seals, ce...

AI Technical Summary

Problems solved by technology

However, due to the large area of ​​the palmprint, the amount of calculation required for preprocessing the palmprint image is very large.

In addition, due to the complexity of the palmprint image, the collected detail feature points are not stable, and it may change with the change of the collection conditions.

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