Anastasia Rita Widiarti
Comparing Hilditch, Rosenfeld, ZhangSuen,and Nagendraprasad WangGupta Thinning
563 - 567
2011
5
6
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/6492
https://publications.waset.org/vol/54
World Academy of Science, Engineering and Technology
This paper compares Hilditch, Rosenfeld, Zhang
Suen, dan Nagendraprasad Wang Gupta (NWG) thinning algorithms
for Javanese character image recognition. Thinning is an effective
process when the focus in not on the size of the pattern, but rather on
the relative position of the strokes in the pattern. The research
analyzes the thinning of 60 Javanese characters.
Timewise, ZhangSuen algorithm gives the best results with the
average process time being 0.00455188 seconds. But if we look at
the percentage of pixels that meet onepixel thickness, Rosenfelt
algorithm gives the best results, with a 99.98 success rate. From the
number of pixels that are erased, NWG algorithm gives the best
results with the average number of pixels erased being 84.12. It can
be concluded that the Hilditch algorithm performs least successfully
compared to the other three algorithms.
Open Science Index 54, 2011