Enabling indexing and retrieval of historical Arabic manuscripts through template matching based word spotting
Author | Faisal T. |
Author | Al-Maadeed, Somaya |
Available date | 2022-05-19T10:23:12Z |
Publication Date | 2017 |
Publication Name | 1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017 |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1109/ASAR.2017.8067760 |
Abstract | We present a holistic segmentation-free query by example word spotting technique based on template matching. We have applied this technique to a dataset of historical Arabic handwritten manuscript images. First, the documents as well as query word images are pre-processed for separating text from the noisy background and converting to their binary equivalents. Then a pixel based approach is used for computing the similarity between the pre-processed template query word and document images by using the Correlation similarity measure. Slight variations in font sizes are tolerated by adjusting the threshold of similarity. Our robust pre-processing algorithm significantly enhances the performance of the learning-free template matching based word spotting approach. The proposed technique is simple as well as efficient as it does not involve any time-consuming learning steps. Experiments with a historical Arabic dataset yield promising results. This technique can generate locations of occurrences of query word images which is the fundamental step towards building searchable indexes for historical manuscripts. |
Sponsor | ACKNOWLEDGMENT This publication was made possible by QUCP grant number QUCP-CENG-CSE-15\16-1 from Qatar University. The statements made herein are solely the responsibility of the authors. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | Image processing Document images Indexing and retrieval Pixel based approach Pre-processing algorithms Query words Query-by example Similarity measure Word Spotting Template matching |
Type | Conference Paper |
Pagination | 57-63 |
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Computer Science & Engineering [2284 items ]