Finger vein and hand shape combined intelligent acquisition system and recognition method
The invention discloses a finger vein and hand shape combined intelligent acquisition and recognition method. A near-infrared acquisition unit acquires images of hand shapes and finger veins, extracts characteristic point information in the images and matches the characteristic point information wit...
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| creator | SI WEI LI JINGLIN DING XIAOMING LI FENG ZHENG XINGYAN MA ZHONGSHUN LIU HAO SUN DONGMEI LU XUEMENG JIANG YINGJI |
| description | The invention discloses a finger vein and hand shape combined intelligent acquisition and recognition method. A near-infrared acquisition unit acquires images of hand shapes and finger veins, extracts characteristic point information in the images and matches the characteristic point information with the stored characteristics to obtain a final judgment result. The method comprises the following step that the near-infrared acquisition unit acquires images of the finger veins and the images of finger shapes, and performs characteristic fusion on the two kinds of information. Two-finger acquisition increases information quantity of suspected biological characteristics (for one-finger acquisition, the vein images cannot be acquired due to difference of human bodies, and the information quantity is low and the recognition error probability is high if the hand shape is only acquired), and improves the positioning accuracy simultaneously. In addition, two-side lighting facilitates placementof fingers of users, whil |
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A near-infrared acquisition unit acquires images of hand shapes and finger veins, extracts characteristic point information in the images and matches the characteristic point information with the stored characteristics to obtain a final judgment result. The method comprises the following step that the near-infrared acquisition unit acquires images of the finger veins and the images of finger shapes, and performs characteristic fusion on the two kinds of information. Two-finger acquisition increases information quantity of suspected biological characteristics (for one-finger acquisition, the vein images cannot be acquired due to difference of human bodies, and the information quantity is low and the recognition error probability is high if the hand shape is only acquired), and improves the positioning accuracy simultaneously. 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A near-infrared acquisition unit acquires images of hand shapes and finger veins, extracts characteristic point information in the images and matches the characteristic point information with the stored characteristics to obtain a final judgment result. The method comprises the following step that the near-infrared acquisition unit acquires images of the finger veins and the images of finger shapes, and performs characteristic fusion on the two kinds of information. Two-finger acquisition increases information quantity of suspected biological characteristics (for one-finger acquisition, the vein images cannot be acquired due to difference of human bodies, and the information quantity is low and the recognition error probability is high if the hand shape is only acquired), and improves the positioning accuracy simultaneously. In addition, two-side lighting facilitates placementof fingers of users, whil</abstract><oa>free_for_read</oa></addata></record> |
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| language | chi ; eng |
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| subjects | CALCULATING COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Finger vein and hand shape combined intelligent acquisition system and recognition method |
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