In this paper, we propose integrated adaptive sensitivity and robustness terms for the cost
function of a convolutional neural network (CNN). The sensitivity term considers the slight …

Handwritten Character Recognition (HCR) plays an important role in Optical character
Recognition (OCR) and Pattern Recognition (PR), as it has a good number of applications in …

This study proposed an assistive system to recognize the special character CAPTCHAs for
the visually impaired community in the Chinese region. To improve the recognition …

Matching abbreviated names with their full names (full-abbr matching) plays a key role in
data integration, address matching, information retrieval, and other fields. Traditional full …

One important and challenging issue in handwritten character recognition is the
discrimination of visually similar characters. In this paper, we propose a character …

This paper presents a two-stage approach for an improved recognition accuracy of
handwritten Meitei Mayek characters. The first-stage is a CNN based recognition. The …

Recognition of Off-line Chinese characters is still a challenging problem, especially in
historical documents, not only in the number of classes extremely large in comparison to …

Convolutional Neural Networks (CNNs) are widely used for handwritten character
recognition tasks. The task of handwritten Chinese character recognition is especially …

Aspects of the disclosure provide for mechanisms for char acter recognition using neural
networks. A method of the disclosure includes assigning, using a first-level classifier of a …

In this paper, the classical convolutional neural network VGG19 is used to recognize the
offline handwritten New Tai Lue characters firstly. Then, according to the recognized image …