Feature selection, which plays an important role in high-dimensional data analysis, is
drawing increasing attention recently. Finding the most relevant and important features for …

This paper presents influence of Histogram of Oriented Gradients (HOG) features on three
different popular classifiers: Support Vector Machine (SVM), K-Nearest Neighbor (K-NN) and …

Recognition of degraded printed compound Kannada characters is a challenging research
problem. It has been verified experimentally that noise removal is an essential …

In general, the term handwritten character recognition (HCR) refers to the process of
recognizing handwritten characters in any form, whereas handwritten text recognition (HTR) …

A character is the smallest unit in every line of a script, the development of the script
stretches over millions of inscriptions in Kannada, and these inscriptions play a vital role in …

Big health data collection and storing for further analysis is a challenging task because this
knowledge is big and has many features. Several cloud-based IoT health providers have …

Digitisation process is very much essential for historical handwritten documents due to
degraded qualities in the manuscript such as ink bleed, arbitrary geometric distortions …

In the recent days, the research area of handwritten character recognition has got much
attention toward ancient inscriptions, since they contain lots of unfolding knowledge in the …

Tamil is a traditional Indian language spoken mostly among South Indians, SriLankans, as
well as Malaysians. This paper proposed the novel techniques based on pre-processing …

Recognition of degraded printed Kannada characters is a challenging research problem.
Proposed in this paper is a deep convolutional neural network for recognition of degraded …