This paper proposes a novel handwriting recognition interface for wearable computing where users write characters continuously without pauses on a small single writing box. Since characters are written on the same writing area, they are overlaid with each other. Therefore the task is regarded as a special case of the continuous character recognition problem. In contrast to the conventional cont...

Automatic Character Recognition has wide variety of applications such as automatic postal mail sorting, number plate recognition and automatic form of reader and entering text from PDA's etc. Cursive script’s Automatic Character Recognition is a complex process facing unique issues unlike other scripts. Many solutions have been proposed in the literature to solve complexities of cursive scripts...

This article will detail the steps to build and train convolutional neural network (CNN) model for Vietnamese character recognition in educational books. Based on this model, a mobile application extracting text content from images textbooks was built using OpenCV Canny edge detection algorithm. There are 178 characters classes with accents. However, within scope of textbooks, some only differ ...

Handwritten character recognition is always a frontier area of research in the field of pattern recognition and image processing and there is a large demand for OCR on hand written documents. This paper provides a comprehensive review of existing works in handwritten character recognition based on Evolutionary computing technique during the past decade. KeywordsHandwritten Character recognition...

In pattern recognition there is a variety of applications where the patterns are classi ed using edit distance. In this paper we present some results comparing the use of tree and string edit distances in a handwritten character recognition task. Some experiments with di erent number of classes and of classi ers are done.

In this paper, we are presenting our work on the creation of the first optical character recognition (OCR) model for Northern Haida, also known as Masset or Xaad Kil, a nearly extinct First Nations language spoken in the Haida Gwaii archipelago in British Columbia, Canada. We are addressing the challenges of training an OCR model for a language with an extensive, non-standard Latin character se...

The success rates of Optical Character Recognition (OCR) systems for printed Malayalam documents is quite impressive with the state of the art accuracy levels in the range of 85-95% for various. However for real applications, further enhancement of this accuracy levels are required. One of the bottle necks in further enhancement of the accuracy is identified as close-matching characters. In thi...

Most document recognition work to date has been performed on English text. Because of the large overlap of the character sets found in English and major Western European languages such as French and German, some extensions of the basic English capability to those languages have taken place. However, automatic language identification prior to optical character recognition is not commonly availab...

For Automatic Optical Inspection (AOI) machines that were introduced to Printed Circuit Board market more than five years ago, illumination technique and light devices are outdated. Images captured by old AOI not easy be recognized typical optical character recognition (OCR) algorithms, especially for dark silk. How effectively increase silk accuracy is indispensable improving overall productio...

To extract a set of suitable features from all Chinese characters for the purpose of classiication is essential in the design of an Optical Character Recognition (OCR) system for printed Chinese characters. Moment descriptors have been developed as features in pattern recognition since the moment method was rst introduced. The moment method is diierent from other feature extraction methods used...