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A Review On Offline Gujarati Word Categories Using Hybrid Features

Amitkumar T Solanki1 , Sheshang D Degadwala2 , Kishori Shekokar3

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-11 , Page no. 714-718, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i11.714718

Online published on Nov 30, 2018

Copyright © Amitkumar T Solanki, Sheshang D Degadwala, Kishori Shekokar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Amitkumar T Solanki, Sheshang D Degadwala, Kishori Shekokar, “A Review On Offline Gujarati Word Categories Using Hybrid Features,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.11, pp.714-718, 2018.

MLA Style Citation: Amitkumar T Solanki, Sheshang D Degadwala, Kishori Shekokar "A Review On Offline Gujarati Word Categories Using Hybrid Features." International Journal of Computer Sciences and Engineering 6.11 (2018): 714-718.

APA Style Citation: Amitkumar T Solanki, Sheshang D Degadwala, Kishori Shekokar, (2018). A Review On Offline Gujarati Word Categories Using Hybrid Features. International Journal of Computer Sciences and Engineering, 6(11), 714-718.

BibTex Style Citation:
@article{Solanki_2018,
author = {Amitkumar T Solanki, Sheshang D Degadwala, Kishori Shekokar},
title = {A Review On Offline Gujarati Word Categories Using Hybrid Features},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2018},
volume = {6},
Issue = {11},
month = {11},
year = {2018},
issn = {2347-2693},
pages = {714-718},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3232},
doi = {https://doi.org/10.26438/ijcse/v6i11.714718}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i11.714718}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3232
TI - A Review On Offline Gujarati Word Categories Using Hybrid Features
T2 - International Journal of Computer Sciences and Engineering
AU - Amitkumar T Solanki, Sheshang D Degadwala, Kishori Shekokar
PY - 2018
DA - 2018/11/30
PB - IJCSE, Indore, INDIA
SP - 714-718
IS - 11
VL - 6
SN - 2347-2693
ER -

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Abstract

The input to handheld devices using a traditional keyboard is not a user-friendly process for Indian scripts due to large and complex character sets. Handwritten character recognition can be a best possible solution. Handwritten character recognition is gaining noteworthy attention in the area of pattern matching and machine learning. Named categories Recognition is a method to find for a particular Named field from a file or an image, recognize it and classify it into specified Entity Classes like Name, Location, Organization, Numbers and Other Categories. The main purpose of using Hybrid Feature is that it provides better performance and can be easily implemented for any languages. A remarkable amount of work has been carried out for many languages like English, Greek, and Chinese etc. But still a wide scope is open for Indian Origin Languages like Hindi, Gujarati, and Devanagari etc. As Gujarati is not only the Indian Language, but a language that is most spoken in Gujarat. Thus, in this research paper different type of features and classification techniques are compare with advantages and disadvantages. After review all methods give idea for future direction research for Guajarati OCR recognition.

Key-Words / Index Term

Gujarati Language, Named Entity Recognition, Invariant feature Extraction, Character classification

References

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