This paper deals with the recognition of handwritten Malayalam character using wavelet
energy feature (WEF) and extreme learning machine (ELM). The wavelet energy (WE) is a …

We propose an automatic pest identification method suitable for large scale, long term
monitoring for mobile or embedded devices in situ with less computational cost. A procedure …

The gradient direction histogram feature has shown superior performance in character
recognition. To alleviate the effect of stroke direction distortion caused by shape …

In this paper, we present an OCR for handwritten Devnagari characters. Basic symbols are
recognized by neural classifier. We have used four feature extraction techniques namely …

Great challenges are faced in the off-line recognition of realistic Chinese handwriting. This
paper presents a segmentation-free strategy based on Hidden Markov Model (HMM) to …

In the research of statistical approach for handwritten character recognition, directional
element feature (DEF) and modified quadratic discriminant function (MQDF) have been …

Chinese character recognition (CCR) is an important branch of pattern recognition. It was
considered as an extremely difficult problem due to the very large number of categories …

Money transactions can be performed by automated self-service machines like ATMs for
money deposits and withdrawals, banknote counters and coin counters, automatic vending …

In this paper, we study data-dependent generalization error bounds that exhibit a mild
dependency on the number of classes, making them suitable for multi-class learning with a …

In this paper, a modified conditional random fields (CRFs) classifier, namely the support
vector conditional random fields classifier with a Mahalanobis distance boundary constraint …