Research On Character Image Processing Technology And Its Implementation In Web

Since the 1970 s,since image processing has become a discipline,image processing technology has gradually entered people’s daily life.In recent years,with the rapid development of Internet of Things technology,image as an important source of information in the Internet of things,more and more reflect its important application value,and become an indispensable application of the field of technology.At present,the realization of image processing technology mainly depends on the algorithm and hardware support,in the field of image processing,a large number of researchers are engaged in a variety of algorithms,and through a powerful graphics workstations,GPU and other hardware to achieve high-definition image processing.Usually,graphics workstations and the corresponding GPU value is not cheap,for researchers to study the formation of relatively large entry threshold.At the same time some need to use the image processing technology of ordinary people can not really understand the algorithm,can not have the appropriate hardware conditions.Therefore,if the image processing algorithm can be transplanted to the server,and through the Web man-machine interface to provide users with image processing services,you can achieve image processing algorithms,and even hardware resources,platform sharing,which is consistent with the current computing model service The big trend.With the rapid development of Internet technology and the new requirements of the contemporary network,HTML5 came into being,its emergence provides an effective way to solve the problem.At the same time,most of the Web-based image processing services realized at this stage are most of the entertainment,ignoring the academic value and research significance of providing image processing services online.Therefore,this paper fully studies the server architecture,HTML5 standard and partial image processing algorithm,based on the part of the image processing technology ported to the server to achieve,for the browser client users to provide face detection and tracking and pedestrian detection of two parts of the image processingservices.In addition,with the advent of large data age,the emergence of cloud computing platforms and large data processing will provide a strong technical force for future research work.The research work done in this paper has the following aspects:1.First of all,this paper introduces the research background and significance in detail,and then,the paper shows the urgency of providing image processing service based on HTML5.Secondly,this paper expatiates on the status of image processing and HTML5 research at home and abroad.Finally,This article focuses on the technical theory required of the image processing and its service on the Web.2.This paper uses HTML5 Canvas technology to achieve Web-based face detection and tracking.By combining HTML5 Canvas technology with optimized face feature classifier,face detection and tracking algorithm,this paper realizes face detection and tracking on the Web.The experimental results show that the proposed method can not only run on HTML5-enabled browsers,but also meet the real-time requirements of face detection and tracking,and ensure the detection rate of face detection and better detection effect.3.This paper presents a pedestrian detection method based on HOG and Adaboost-BP models.The candidate candidate region is quickly selected by image preprocessing,on this basis,the HOG feature and Adaboost-BP model are used to identify the test sample image.The experimental results show that the proposed method has higher detection rate,lower false detection rate and missed detection rate than HOG-SVM algorithm.The experimental results on several pedestrian databases show that the proposed method has better detection effect.In order to provide an image processing service for pedestrian detection on the Web,this article will use the HTML5 WebSocket protocol to implement pedestrian detection on the Web.This paper provides a useful exploratory study on the provision of image processing services based on the Web.It is hoped that the work done in this paper will bring some help and inspiration to the researchers in this field.