Hand-held laser code-jetting character recognizer under complex background

Abstract

The invention relates to a hand-held laser code-jetting character recognizer under a complex background, which consists of to components including a hardware structure and a software structure, wherein the hardware structure comprises an image acquisition unit, an image processing unit, a data storage unit, a liquid crystal display unit, a GPRS communication unit, a key operation unit, a power supply module and the like; and the software structure comprises a system scheduling module, a hardware control module, a driver module, a hardware platform, a human-computer interface module, a database module, a recognition algorithm module and the like. By adopting an embedded type design, the hand-held laser code-jetting character recognizer integrates the image acquisition function, the digital image recognition function and the GPRS-based data transmission function, and can perform image acquisition and quick automatic recognition on an object on site and send the recognition result to an appointed sever through the GPRS communication unit. The recognizer is simple to operate and convenient to use, and has an extensive practical value and an application prospect in the technical field of pattern recognition detection devices.

Description

(1) Technical field: [0001] The invention relates to a hand-held laser inkjet character recognition instrument under complex background, which can recognize the laser inkjet characters under complex background, and involves image acquisition, image processing, pattern recognition and GPRS (General Radio Packet)-based Service) wireless communication technology belongs to the technical field of pattern recognition detection devices. (2) Background technology: [0002] Nowadays, with the development of the information society, image processing and pattern recognition technologies are more and more widely used in all walks of life. Character recognition technology has developed rapidly, and has important practical value in personal information management, office automation, electronic publications, network resources, various large-scale document management databases, digital libraries, license plate recognition, bill recognition, ID card identification, etc. Improve work effici...

AI Technical Summary

Problems solved by technology

In the face of these complex situations, the traditional simple background character recognition technology has great limitations

[0004] At present, character recognition methods mainly include methods based on template matching, methods based on character structure and methods based on neural networks. These existing image recognition methods have more or less certain limitations. A method that works very well, changing to another environment recognition effect may be very unsatisfactory

Some methods with certain versatility and good recognition effect often have a large amount of calculation and are difficult to apply in real time

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