Chinese character recognition (CCR) is an important branch of pattern recognition. It was
considered as an extremely difficult problem due to the very large number of categories …

Two research strands, each identifying an area of markedly increasing importance in the
current development of pattern analysis technology, underlie the review covered by this …

This paper presents an effective approach for the offline recognition of unconstrained
handwritten Chinese texts. Under the general integrated segmentation-and-recognition …

In this paper, we address the problem of the identification of text in noisy document images.
We are especially focused on segmenting and identifying between handwriting and …

In this paper, we have proposed a novel scheme for the extraction of textual areas of an
image using globally matched wavelet filters. A clustering-based technique has been …

The invention relates to a pattern recognition device or classifier. Image processing systems
often contain pattern recognition devices (classifiers). 2. Description of the Prior Art Pattern …

This paper investigates the effects of confidence transformation in combining multiple
classifiers using various combination rules. The combination methods were tested in …

Offline Chinese handwriting recognition (OCHR) is a typically difficult pattern recognition
problem. Many authors have presented various approaches to recognizing its different …

In this paper, we present an effective method to analyze the recognition confidence of
handwritten Chinese character, based on the softmax regression score of a high …

A new connected component based segmentation algorithm which automatically extracts
text regions from natural scene images is proposed in this paper. This approach utilizes a …