2015/02/13 by B. H. Shekar, Shekar, B. H., Smitha M. L +1 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Image Processing and 3D Reconstruction #Image Retrieval and Classification Techniques #cs.CV
paper · pdf · doi:10.48550/arxiv.1502.03913
10 pages, 8 figures, Eighth International Conference on Image and Signal Processing,Elsevier Publications,pp: 145-153, held at UVCE, Bangalore in July 2014. ISBN: 9789351072522
arxiv created 2015/02/13 · openalex publication_date 2015/02/13 · arxiv updated 2015/02/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper, we propose a skeleton matching based approach which aids in text localization in scene images. The input image is preprocessed and segmented into blocks using connected component analysis. We obtain the skeleton of the segmented block using morphology based approach. The skeletonized images are compared with the trained templates in the database to categorize into text and non-text blocks. Further, the newly designed geometrical rules and morphological operations are employed on the detected text blocks for scene text localization. The experimental results obtained on publicly available standard datasets illustrate that the proposed method can detect and localize the texts of various sizes, fonts and colors.