Content Based Text Information Search and Retrieval in Document Images for Digital Library
Sakila A, Vijayarani S
Journal of Digital Information Management, Vol. 16, No. 3, 2018.
DOI: https://doi.org/10.6025/jdim/2018/16/3/136-151
Link: http://dline.info/fpaper/jdim/v16i3/jdimv16i3_4.pdf
Abstract:
The main objective of this research work is
to find the keywords in the captured/scanned print
document images in the image database. Document
images are becoming more popular in today's world and
these are used in paperless offices and digital libraries.
Information retrieval from the document images is a very
challenging task. Hence, there is a need for developing
searching strategies to find the required information from
these document images as per user's needs, becomes
very essential in nowadays. Traditionally Optical Character
Recognition (OCR) tools are used for information retrieval
from the document images, but it's not an efficient method.
Word spotting is an inventive method for searching the
document images and to retrieve relevant information
without any conversion. In this work an algorithm Enhanced
Dynamic Time Warping was proposed to for finding
keywords from document images, it is based on word
spotting technique. Different matching algorithms are made
available for word spotting. Popular algorithms are
Normalization Cross Correlation (NCC) and Dynamic Time
Warping (DTW). In this work, we have compared the
performance of these two existing algorithms with the
proposed algorithm named as Enhanced Dynamic Time
Warping algorithm (EDTW). Different image formats and
different sizes of images are used for experimentation.
From the results it is observed that the proposed algorithm
has produced good results than an existing one.