Analogic preprocessing and segmentation algorithms for off-line handwriting recognition

Timar, G.; Karacs, K.; Rekeczky, Csaba

doi:10.1109/cnna.2002.1035077

Cited by 6 publications

(1 citation statement)

References 17 publications

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“…Object detection and tracking [1,2], segmentation [3][4][5], edge detection [6], classification [7][8][9] and face recognition [10,11] are the main steps of a computer vision system for image analysis. The purpose of segmentation is to simplify and or change the representation of an image into something that is more meaningful and easier to analyze.…”

Section: Introductionmentioning

confidence: 99%

An iterative algorithm for color space optimization on image segmentation

Moussa¹

2021

TELKOMNIKA

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This paper proposes, a novel hybrid color component (HCC) issued from amounts number of color space with iterative manner, in fact traditional images obtained by RGB sensor weren't the effective way in image processing applications, for this purpose we have propose a supervised algorithm to substitute RGB level by hybrid and suitable color space at the aim to make well representation of the handled amounts of data, this step is extremely important because the obtained results it will be injected in many future studies like tracking, classification, steganography and cryptography. The second part of this paper consists to segment image coded in hybrid color space already selected, the used algorithm is inspired from kernel function where statistical distribution was used to model background and Bayes rule to make decision of the membership of each pixel, in this research topics we have extended this algorithm in the aim to improve compactness of these distribution. Cauchy background modeling and subtraction is used, and shows the high accuracy of automatic player detection.

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