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Study Of The Handwritten Sketch Recognition Algorithm And The Implementation Of Sketch-based Animation System

Posted on:2017-01-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y XinFull Text:PDF
GTID:2308330485972534Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
In recent years, with the widely use of touch screen mobile phone and tablet PC, handwriting input mode becomes more and more popular, and research on handwritten sketch recognition becomes extremely active and turns to be an important research direction of artificial intelligence.A hierarchical method for handwritten templated sketch recognition which combined bag of features (BOF) and perceptual hashing is proposed in this paper. The method takes both the overall properties and local characteristics of the sketch into account, in order to overcome the defection aroused by the strong randomness and much freedom of handwritten input. Firstly, we set up the rectangular bounding box for every sketch to get the corresponding sketch image and then adjust it to a square, the regularized sketch image. Secondly, divide every regularized sketch image uniformly to little patches, and take the bag of features as the local characteristics and use support vector machine (SVM) classifier to do the first level classification. Thirdly, resort Top 10 of the initial classification results using the perceptual hashing algorithm which reflects the differences of the objects on overall properties. For our experimental objects are sketches bearing certain structures (9 types), we take these structures as the additional overall features improving the recognition rate.We realize the recognition of 150 kinds of templated sketches, and the average recognition rate is 92.9%(Top1), and 100%(Top5) respectively. The experimental results show that the method is robust and has higher recognition rate.In addition, we design and implement a sketch-based animation story-drawing system based on the research of sketch recognition algorithm. The system can accept the user’s handwriting input on the mobile touch screen terminal, and use the recognition algorithm to identify the sketch to determine the properties of the sketch object, thereby realizing the animation effect. This system uses a touch screen terminal as an input device and its human-computer interaction is more natural, which improves the practicality of the sketch animation system.
Keywords/Search Tags:handwritten sketch recognition, bag of features method, perceptual hashing technique, support vector machine
PDF Full Text Request
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