A method for handwritten character string recognition in the air
A technology of handwritten characters and character strings, which is applied to instruments, user/computer interaction input/output, and computer components, etc. The method is novel and convenient, the recognition is accurate and fast, and the recognition accuracy is improved
Active Publication Date: 2016-06-22
北京中科阅深科技有限公司
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Problems solved by technology
However, because it is difficult to judge the pen up / down in writing in such systems, word segmentation is very difficult
Therefore, at present, this type of system can only recognize a single character. For details, please refer to the literature "Jin Lianwen, Ding Kai, Yan Hanyu, a virtual character recognition method for visible light detection, Chinese patent application number 200810029420, publication number CN10132029A"
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[0029] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.
[0030] figure 1 It is a schematic structural diagram of the air handwritten character string recognition system of the present invention, as figure 1 As shown, the system includes a gesture recognition module, a finger trajectory extraction module, a preprocessing module, and a character string recognition module, wherein:
[0031] The gesture recognition module is connected with the finger trajectory extraction module, and is used to recognize gestures for marking the start of writing and the end of writing;
[0032] In one embodiment of the present invention, gesture triggering events are defined for the two states of "start writing" and "end writing": facing the camera, the action of "stretching the palm" means starti...
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The invention discloses a system and method for identifying handwritten character strings in the air. The system includes: a gesture recognition module, connected with a finger track extraction module, used to identify gestures for marking the start of writing and ending writing; a finger track extraction module, connected with a preprocessing module, used for extracting finger tracks from input handwriting actions and record; the preprocessing module is connected with the handwritten character string recognition module in the air, and is used for preprocessing the finger track data; the character string recognition module is connected with the preprocessing module, and is used for carrying out character string recognition to the finger track data. The invention also discloses a method for identifying handwritten character strings in the air. The writing method supported by the invention is novel and convenient, and the recognition is accurate and fast, which provides people with a more humanized and intelligent handwriting input method in addition to the traditional handwriting method, and can be widely used in human-computer interaction systems, such as game operations, TV control, teaching system, etc.
Description
technical field [0001] The invention belongs to the technical field of computer application and pattern recognition, in particular to a method for recognizing handwritten character strings in the air. Background technique [0002] Text, as a commonly used information dissemination and communication tool, plays an important role in human-computer interaction systems. Currently widely used text input methods include: keyboard, touch screen, tablet, etc. These input methods have their own advantages, but also have their own shortcomings, such as the limitation of the size of the keyboard and the number of keys, the limitation of the size of the touch screen and tablet, and the limited writing area. Therefore, designing a more natural, convenient and efficient text input method is an important research direction. In recent years, people have designed a type of text input method based on visual gestures by combining handwritten text recognition and computer vision systems. Rec...
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IPC IPC(8): G06K11/06G06F3/01
Inventor 刘成林靳潇杰王秋锋侯新文
Owner 北京中科阅深科技有限公司