Efficient automated processing of the unstructured documents using artificial intelligence: A systematic literature review and future directions

D Baviskar, S Ahirrao, V Potdar, K Kotecha - IEEE Access, 2021 - ieeexplore.ieee.org
The unstructured data impacts 95% of the organizations and costs them millions of dollars
annually. If managed well, it can significantly improve business productivity. The traditional …

Exploring AI-driven approaches for unstructured document analysis and future horizons

SV Mahadevkar, S Patil, K Kotecha, LW Soong… - Journal of Big Data, 2024 - Springer
In the current industrial landscape, a significant number of sectors are grappling with the
challenges posed by unstructured data, which incurs financial losses amounting to millions …

A survey on various optical character recognition techniques

AM Sabu, AS Das - 2018 conference on emerging devices and …, 2018 - ieeexplore.ieee.org
This paper gives various optical character recognition techniques that is used for various
character recognition. Optical character recognition is a technique in which a scanned …

Handwriting Character Recognition Javanese Letters Based on Artificial Neural Network

A Setiawan, AS Prabowo, EY Puspaningrum - IJCONSIST JOURNALS, 2019 - ijconsist.org
Javanese character is one of Indonesia's cultural heritages that must be preserved.
Manuscript form of the Javanese character is one of the priceless inheritances. Javanese …

A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents

S Mahadevkar, S Patil, K Kotecha, A Abraham - PeerJ Computer Science, 2024 - peerj.com
Object detection methods based on deep learning have been used in a variety of sectors
including banking, healthcare, e-governance, and academia. In recent years, there has …

Vision sensory substitution to aid the blind in reading and object recognition

PG Bhat, DK Rout, BN Subudhi… - … Conference on Image …, 2017 - ieeexplore.ieee.org
Vision Sensory Substitution is a non-invasive rehabilitating procedure for the blind, which
provides visual information to them via any of their functioning senses. In this paper, the …

A survey on the usage of pattern recognition and image analysis methods for the lifestyle improvement on low vision and visually impaired people

M Anitha, VDA Kumar, S Malathi, VDA Kumar… - Pattern Recognition and …, 2021 - Springer
Abstract According to World Health Organization in 2017 nearly 253 million people are
visually impaired of whom 36 million are blind. Braille books involve the tactile format that …

Supervised machine learning in intelligent character recognition of handwritten and printed nameplate

R Kajale, S Das, P Medhekar - 2017 International Conference …, 2017 - ieeexplore.ieee.org
We are in the midst of a revolution, digital revolution which is primarily responsible for the
advancements in various computing fields. There is a greater need for smart devices …

[PDF][PDF] A bibliometric survey on cognitive document processing

D Baviskar, S Ahirrao, K Kotecha - Libr. Philos. Pract, 2020 - core.ac.uk
Heterogenous and voluminous unstructured data is produced from various sources like
emails, social media tweets, reviews, videos, audio, images, PDFs, scanned documents, etc …

Implementation of a normalized cross-correlation coefficient-based template matching algorithm in number system conversion

FET Munsayac, LMB Alonzo, DEG Lindo… - 2017IEEE 9th …, 2017 - ieeexplore.ieee.org
In digital image processing, template matching is a technique used for finding or searching
for areas of an image that could either match or be similar to the template image. In this …