Sreeraj, M; Sumam, Mary Idicula(IEEE, December 9, 2009)
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Abstract:
This paper presents an efficient Online Handwritten
character Recognition System for Malayalam Characters
(OHR-M) using Kohonen network. It would help in
recognizing Malayalam text entered using pen-like devices. It
will be more natural and efficient way for users to enter text
using a pen than keyboard and mouse. To identify the
difference between similar characters in Malayalam a novel
feature extraction method has been adopted-a combination of
context bitmap and normalized (x, y) coordinates. The system
reported an accuracy of 88.75% which is writer independent
with a recognition time of 15-32 milliseconds
Description:
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC 2009)
As the popularity of digital videos increases, a large number illegal videos are
being generated and getting published. Video copies are generated by performing various
sorts of transformations on the original video data. For effectively identifying such illegal
videos, the image features that are invariant to various transformations must be extracted for
performing similarity matching. An image feature can be its local feature or global feature.
Among them, local features are powerful and have been applied in a wide variety of computer vision aplications .This paper focuses on various recently proposed local detectors and descriptors that are invariant to a number of image transformations.
Description:
International Journal of Scientific & Engineering Research, Volume 4, Issue 9, september 2013