Deep neural networks (DNNs) have evolved as a beneficial machine learning method that
has been successfully used in various applications. Currently, DNN is a superior technique …

In steerable filters, a filter of arbitrary orientation can be generated by a linear combination of
a set of “basis filters.” Steerable properties dominate the design of the traditional filters, eg …

Atrial fibrillation (AF) is one of the most common sustained chronic cardiac arrhythmia in
elderly population, associated with a high mortality and morbidity in stroke, heart failure …

Recent deep learning based approaches have achieved great success on handwriting
recognition. Chinese characters are among the most widely adopted writing systems in the …

Recent deep learning based methods have achieved the state-of-the-art performance for
handwritten Chinese character recognition (HCCR) by learning discriminative …

Handwritten Arabic character recognition systems face several challenges, including the
unlimited variation in human handwriting and large public databases. In this work, we model …

Recent past has seen a lot of developments in the field of image-based dietary assessment.
Food image classification and recognition are crucial steps for dietary assessment. In the …

Breast tumors are from the common infections among women around the world. Classifying
the various types of breast tumors contribute to treating breast tumors more efficiently …

Offline handwritten Chinese recognition is an important research area of pattern recognition,
including offline handwritten Chinese character recognition (offline HCCR) and offline …

In this work, we tackle the problem of car license plate detection and recognition in natural
scene images. Inspired by the success of deep neural networks (DNNs) in various vision …