18th International Conference on Pattern Recognition (ICPR'06) 2006
DOI: 10.1109/icpr.2006.1030
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Script Identification Based on Morphological Reconstruction in Document Images

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Cited by 40 publications
(19 citation statements)
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“…The feature extractor consists of two stages. Dhandra et al [6] [7] are continuation of paper [8] demonstrates the feasibility of morphological reconstruction approach for script identification at word level.…”
Section: Related Workmentioning
confidence: 99%
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“…The feature extractor consists of two stages. Dhandra et al [6] [7] are continuation of paper [8] demonstrates the feasibility of morphological reconstruction approach for script identification at word level.…”
Section: Related Workmentioning
confidence: 99%
“…It examines the use of discriminating features (aspect ratio, strokes, eccentricity, etc,). Dhandra et al [8]developed a system that includes a feature extractor using morphological operation and a classifier. The feature extractor consists of two stages.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…B Patil and Subbareddy [4] have proposed a neural network based system for script identification of Kannada, Hindi and English languages. Dhandra et al, [5] have exploited the use of discriminating features (aspect ratio, strokes, eccentricity, etc,) as a tool for determining the script at word level in a bi-lingual document containing Kannada, Tamil and Devnagari containing English numerals. A method to automatically separate text lines of Roman, Devanagari and Telugu scripts has been proposed by Pal et al, [6].…”
Section: Local Approaches On Indian Scriptsmentioning
confidence: 99%
“…Many techniques have been proposed to identify various scripts. In recent advances, the scripts are identified using morphological reconstruction & hole filling [8], water reservoir techniques [9], projection profiles [10], moments & run-length histogram [3], top & bottom profiles [11] [12], vertical & horizontal profiles [13], steerable pyramid features [14], texture features [15] & wavelet energy histogram. Entropy or energy evaluation has been done in a multilingual document image wherein column entropies are considered for the purpose of identification [16].…”
Section: Introductionmentioning
confidence: 99%