The words to be recognized in these challenges are located in complicated image backgrounds. There are multiple adverse factors for imaging, such as noise, blur, transparency, image tilt, and much more. Moreover, different fonts need to be dealt with as well. Hikvision OCR technology has overcome many challenges and won the worldwide first price in the three Word Recognition competitions. Specifically, it surpassed the second place finisher by 5.6% in the Web and Email Born-Digital Images challenge, and by 3.4% and 3.1% respectively in the Focused Scene Text challenge and the Incidental Scene Text challenge.
With the assistance of advanced OCR technology, the Hikvision Word Recognition system is capable of dealing with more complicated Word Recognition scenarios, such as those with stains and blurs, background noise and deformation, extreme weather impact, etc. As of now, Hikvision’s vehicle plate recognition system—based on this new OCR technology—has been applied in over 60locations around the world. Of note are electronic police, entrance/exit control, and parking systems.
In addition, the results of this competition can also be applied in multiple other sectors to greatly improve product performance and application effectiveness. These applications include tag recognition in the machine vision sector, ID and license recognition in traffic and commercial sectors, malicious image recognition over the Internet, and banner and street view recognition in the urban management sector.
Hikvision has seized opportunities to develop Artificial Intelligence (AI), and the company is leveraging its Big Data and superior AI technology to improve its OCR technology performance. Hikvision continually strives to advance machine intelligence and automation, continuously creating value for its customers in areas of video security, intelligent perception, scenario understanding and much more.
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