Performance Scrutiny of Thinning Algorithms on Printed Gujarati Characters and Handwritten Numerals

Suthar, Sanket B.; Goradia, Rahul S.; Dalwadi, Bijal N.; Patel, Sachin; Patel, Sandip

doi:10.1007/978-981-10-3932-4_27

Cited by 3 publications

(2 citation statements)

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“…The ZS algorithm produces higher outcomes in terms of thinning rate, thinning speed, visual quality and connectivity maintenance, in this algorithm the problem of lack of connectivity is because of the entire removal of 2 × 2 square incurred in ZS and excessive erosion [19]. In Adaptive When compared to the Hilditch thinning algorithm, the Zhang Suen thinning algorithm is recognized for being a quick thinning method that is simple to build and may be used to attenuate a variety of digital patterns [20]. In This method, the shape topology and connectivity are preserved.…”

Section: Zhang-suen Thinning Method(zs)mentioning

confidence: 99%

“…There are distinct algorithms is been worked in which LW works well. However, in the case of handwritten numerals, ZS gives better outcomes with a maximum average result [20]. The LW algorithm presented an improved ZS algorithm, dubbed LW, to address the problem of excessive tilt line erosion by changing the neighbourhood state by modifying the region.…”

Section: Lu-wang Thinning Method(lw)mentioning

confidence: 99%

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A Comparative Study for Skeleton Representation Methods Using Data Visualization

Zalaan,

Najimb

2022

J. Al-Qadisiyah Comp. Sci. Math.

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Data visualization is a technique used to see the unseen information, that will help humanity to discover important things. There are many methods to represent the datasets, but data visualization is the best because it can preserve the information. Skeleton is used to analyse the visualization, thus data visualization gives efficient results. Comparison among well-known methods is the goal of this paper. The conclusion of this paper showed all the comparative results will be important for any further study. This study will use data visualization to discover novel dataset representations, which is the main goal of data visualization and can be useful in presenting necessary data.

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Section: Zhang-suen Thinning Method(zs)mentioning

confidence: 99%

Section: Lu-wang Thinning Method(lw)mentioning

confidence: 99%