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Statistics report
Apr. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 133
Paper Published : 1552
No. of Authors : 4025
  Journal Paper


Paper Title :
A Keyword Spotting Approach using Agglomerative Hierarchical Clustering Method

Author :Sushma S N, Sharada B

Article Citation :Sushma S N ,Sharada B , (2022 ) " A Keyword Spotting Approach using Agglomerative Hierarchical Clustering Method " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 10-15, Volume-10,Issue-5

Abstract : Abstract - A load of vital historical document gatherings are lying quiescent in National libraries that needs to conserved in digital form. The problem of information retrieval from historical handwritten scripts is challenging task due to its variableness in writing styles. Retrieval of relevant information from these scanned historical document images would ideally necessitate an efficient Keyword spotting system which can be replaced with recognition systems. We propose a cluster based keyword spotting system in which agglomerative hierarchical clustering techniques are used for matching the handwritten word images. The technique is demonstrated using historical handwritten Devanagari document images. Compared to prior results, the proposed method gives favorable results. Keywords - Keyword Spotting, Agglomerative Hierarchical Clustering, Single Linkage, Complete Linkage

Type : Research paper

Published : Volume-10,Issue-5


DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-18646   View Here

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