Y. B. Zhang's research while affiliated with University College Dublin and other places

Publications (3)

Chapter
As a general first step in a recognition system, preprocessing plays a very important role and can directly affect the recognition performance. This Chapter proposes a new preprocessing technique for online handwriting. The approach is to first remove the hooks of the strokes by using changed-angle threshold with length threshold, then filter the n...
Conference Paper
This paper presents a combined approach for online handwriting symbols recognition. The basic idea of this approach is to employ a set of left-right HMMs as a feature extractor to produce HMM features, and combine them with global features into a new feature vector as input, and then use SVM as a classifier to finally identify unknown symbols. The...

Citations

... The interpolation method does not overcome the hocking problem. To remove hocks from the start and end of the character, an iterative method based on Huang et al. [26] is used to check any sign change in slops between two adjacent lines at 5% of the points at the start and end of the character. ...
... Another strategy, aside from using words or the whole document, is by detecting lines. These approaches use Hidden Markov Models (HMMs) models [21] to spot the words inside the lines, embedding a discriminative stage in HMM, such as a support vector machine [22], a neural network [23] or deep learning network architectures [24]. Although they provide more reliable results than the other approaches, they have many drawbacks. ...
... The main goal of this step is to unify the input data in order to improve the reliability of the recognition algorithm for different input data. Typically, preprocessing of handwritten strokes in online recognition includes: removing duplicated points, and the hooks of the strokes, slant correction, smoothing input points, filling intermediate points, resampling, size normalization [10,11,12]. The Figure 5 illustrates the result of preprocessing. ...