Segmentation of a word into characters is one of the important challenges in optical character recognition. This is even more challenging when we segment characters in an offline handwritten document. Touching characters make this problem more complex. In this paper, we have applied water reservoir based technique for identification and segmentation of touching characters in handwritten Gurmukh...

Finding an unknown Japanese word in a dictionary is a difficult and slow task when one or more of the word’s characters is unknown. For advanced learners, unknown characters evoke the form and meaning of visually similar characters they are familiar with. We propose a range of character distance metrics to allow learners to leverage known characters to search for words containing unknown but vi...

This paper describes a method used for the recognition of handwritten simplified Chinese characters from paper records. The method is based on the use of discrete hidden Markov models. The recognition accuracy achieved for all 3755 common simplified Chinese characters in GB1 is 91.2% for top 1 choice and 98.5% for top 5 choice. The method recognizes isolated characters only and not words or phr...

The Unicode standard identifies and provides representation of the vast majority of known characters used in today’s writing systems. Many of these characters belong to the unified Han series, which encapsulates characters from writing systems used in languages such as Chinese, Japanese and Korean languages. These pictographic characters are often made up of smaller primitives, either other cha...

Virtual storytelling often uses a fixed, pre-scripted storyline, constraining the characters’ autonomy and behaviour. An agent-based approach provides possibilities of a narrative emerging from interaction between a number of autonomous characters. In this paper such an approach is proposed, based on autonomous virtual agents that have mindreading capabilities. The approach is applied to genera...

Finding an unknown Japanese word in a dictionary is a difficult and slow task when one or more of the word’s characters is unknown. For advanced learners, unknown characters evoke the form and meaning of visually similar characters they are familiar with. We propose a range of distance metrics for characters to allow learners to leverage known characters to search for words containing unknown b...

We use characters as a basis for data representation in computers, and as a tool for communication over computer networks. Computer programs are made of characters, we exchange mails that are sequences of characters, and many of the contents available over the Internet are realized in the form of characters. Currently, in the field of information processing, characters are defined and shared us...

In this work, we aim to transform handwritten Chinese characters into calligraphy style characters on a stroke-by-stroke basis. We extracted strokes from a set of handwritten characters by identifying the primary orientation of each stroke. We then adopted autoencoder and self-organizing maps to cluster the extracted strokes into 100 different groups. Using the neural networks obtained, we clus...

Subject performance in reading characters on mobile phone liquid crystal displays was researched with the use of: (1) sentences without meaning, made from randomly ordered alphanumeric characters having 3 different sizes of characters and 4 different contrasts (n=78; age=39.9±17.6), (2) Japanese characters of 5 different sizes and 2 types of font (n=98; age=44.5±18.5), and (3) Japanese characte...