The Research on Effective Video Scene Character Eztraction Algorithm in Natural Scene Images
PCB technology is particularly important in electronic industry. However, the increasing of technology complexity makes it difficult to inspect the quality of PCB. AOI system greatly improves the PCB inspection efficiency, and it has become one of the most instructive subjects that how to identify the text information in the chip image rapidly and accurately. Since the chip images have complex natural background, and are greatly affected by light, shadow, noise, font and size, texture, color, position and arrangement, it is often difficult to inspect, extract and identity the text.This paper presents an effective algorithm of scene character segmentation and recognition in natural scene images. The algorithm segments lines of character, then segments every line of character into individual words for further processing, such as feature extraction and character recognition according to the known features of character. After the segmentation of character, we use an advanced BP algorithm to recognize the character. It improves BP mainly through restructuring gradient in the SIG-MOID. The experiment shows a significantly improvement in PC: the recognition accuracy rate of this system is above 96％ and the response time is 5 ms/100 words.
Scenes character segmentation feature eztraction BP algorithm image processing
Jing Hua Hu Hua Feng Kong
Wuhan University of Technology, Wuhan 430070 Key Laboratory of Information Network Security, The Ministry of Public Security, The Third Research
国际会议
第二届数字制造国际会议(2nd Sumposium on Digital Manufacturing ISDM09)
武汉
英文
258-262
2009-09-10（万方平台首次上网日期，不代表论文的发表时间）