Text Detection in Images Based on Color Texture Features

Liu, Chunmei; Wang, Chunheng; Dai, Ruwei

doi:10.1007/11538059_5

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Cited by 6 publications

(2 citation statements)

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“…In both sets, the localization estimates that cover ground truths in the same row are not punished. In experiment 2, we choose the localization algorithm in [4] as the evaluation target. The data set used is the labeled data from the ICDAR contest.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Usage-Oriented Performance Evaluation for Text Localization Algorithms

Ma¹,

Wang²,

Xiao³

et al. 2007

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2

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The localization of texts in image/video is the first step in a text processing system. Its effect will do great impact on the following processing steps. Although many studies have been done on text localization algorithms, there is not a universally accepted performance evaluation method. In this paper we propose two sets of metrics to evaluate the performance of text localization algorithms in different usage conditions. The metrics also consider the text distribution characteristics, and the difficulties of the underlying task. Some experiments on the proposed metrics are also given.

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Section: Methodsmentioning

confidence: 99%

“…The first evaluation set describes the characteristics of the algorithms, we could use a histogram to give a visual description. The distribution of localization of [4] is shown in Fig.4.…”

Section: Methodsmentioning

confidence: 99%