A new method for segmentation of pre-detected Devanagari words from the scene images: Pihu method. (August 2018)

• Record Type: Journal Article
• Authors: Jindal, Khushneet; Kumar, Rajiv
• Is Part Of: Computers & electrical engineering. Volume 70(2018)
• Page Start: 754
• Page End: 763
• Publication Date: 2018-08
• Subjects: Character segmentation -- Natural scene images -- Devanagari -- Image processing; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2017.12.017
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: To date, only one method has reported on the segmentation of pre-detected Devanagari words from natural scenic images. The present paper discusses the limitations of the existing method and proposes a new robust method called the "Pihu method" (Pihu is the lovely daughter of the first author). The efficiency of the proposed method over the existing approach is demonstrated by considering a challenging dataset of natural scenic images of Devanagari script. The study shows that the character segmentation accuracy of the Pihu method was 92.11% and that of the existing method was 55.77%. The results show that it takes the Pihu method 2.70 s to segment an image, whereas the existing method takes 4.76 s.