The flourishing blossom of deep learning has witnessed the rapid development of text
recognition in recent years. However, the existing text recognition methods are mainly for …

Recently, the hybrid convolutional neural network hidden Markov model (CNN-HMM) has
been introduced for offline handwritten Chinese text recognition (HCTR) and has achieved …

In this paper, we introduce a large-scale dataset, called SCUT-HCCDoc, to address
challenging detection and recognition problems of handwritten Chinese text (HCT) in the …

Signatures are widely used to validate the authentication of an individual. A robust method is
still awaited that can correctly certify the authenticity of a signature. The proposed solution …

To accurately recognize ordinary handwritten Chinese characters, it is necessary to
recognize the normative level of these characters. This study proposes methods to …

Deep learning and deep neural networks, particularly Convolutional Neural Networks
(CNNs), are rapidly growing areas of machine learning and are currently the primary tools …

Many studies have been conducted on Handwritten Signature Verification. Researchers
have taken many different approaches to accurately identify valid signatures from skilled …

Handwritten Chinese text recognition (HCTR) methods can generally be divided into two
categories: explicit segmentation based methods and implicit segmentation based methods …

Abstract Convolutional Neural Network (CNN) is the well-known technique for feature
extraction capability. But the poor selection and setup of design parameters restricts its …

In general, signatures are used to authenticate an individual's authenticity. A solid way of
certifying the legitimacy of a signature is still waiting for. The approach offered in this paper …