30,065 research outputs found
New Method for Optimization of License Plate Recognition system with Use of Edge Detection and Connected Component
License Plate recognition plays an important role on the traffic monitoring
and parking management systems. In this paper, a fast and real time method has
been proposed which has an appropriate application to find tilt and poor
quality plates. In the proposed method, at the beginning, the image is
converted into binary mode using adaptive threshold. Then, by using some edge
detection and morphology operations, plate number location has been specified.
Finally, if the plat has tilt, its tilt is removed away. This method has been
tested on another paper data set that has different images of the background,
considering distance, and angel of view so that the correct extraction rate of
plate reached at 98.66%.Comment: 3rd IEEE International Conference on Computer and Knowledge
Engineering (ICCKE 2013), October 31 & November 1, 2013, Ferdowsi Universit
Mashha
Automatic recognition of fingerspelled words in British Sign Language
We investigate the problem of recognizing words from
video, fingerspelled using the British Sign Language (BSL)
fingerspelling alphabet. This is a challenging task since the
BSL alphabet involves both hands occluding each other, and
contains signs which are ambiguous from the observer’s
viewpoint. The main contributions of our work include:
(i) recognition based on hand shape alone, not requiring
motion cues; (ii) robust visual features for hand shape
recognition; (iii) scalability to large lexicon recognition
with no re-training.
We report results on a dataset of 1,000 low quality webcam
videos of 100 words. The proposed method achieves a
word recognition accuracy of 98.9%
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