Optimized CNN-Based Recognition of District Names of Punjab State in Gurmukhi Script
Automation of Postal systems has the major research scope in the field of automation. To create Postal Automation set-up for countries like India is a tedious task if compared with other countries because of India’s multiscript and multilingual behavior. This work will help in recognizing the “Gurmu...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2022/6580839 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832563515609579520 |
|---|---|
| author | Sandhya Sharma Sheifali Gupta Deepali Gupta Sapna Juneja Hamza Turabieh Lokesh Sharma Zelalem Kiros Bitsue |
| author_facet | Sandhya Sharma Sheifali Gupta Deepali Gupta Sapna Juneja Hamza Turabieh Lokesh Sharma Zelalem Kiros Bitsue |
| author_sort | Sandhya Sharma |
| collection | DOAJ |
| description | Automation of Postal systems has the major research scope in the field of automation. To create Postal Automation set-up for countries like India is a tedious task if compared with other countries because of India’s multiscript and multilingual behavior. This work will help in recognizing the “Gurmukhi” handwritten district names of the State Punjab. To recognize the district names, a CNN-based architecture is proposed by employing a Holistic approach. For this, an image database of 22000 samples is prepared having 1000 sample images for every district name which is collected from 500 different writers. Maximum accuracy on validation data achieved by the proposed Model is 99%. |
| format | Article |
| id | doaj-art-ab1edc9092cd43afbadd5c6a47864171 |
| institution | Kabale University |
| issn | 2314-4785 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-ab1edc9092cd43afbadd5c6a478641712025-02-03T01:19:59ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/6580839Optimized CNN-Based Recognition of District Names of Punjab State in Gurmukhi ScriptSandhya Sharma0Sheifali Gupta1Deepali Gupta2Sapna Juneja3Hamza Turabieh4Lokesh Sharma5Zelalem Kiros Bitsue6Chitkara University Institute of Engineering and TechnologyChitkara University Institute of Engineering and TechnologyChitkara University Institute of Engineering and TechnologyKIET Group of InstitutionsDepartment of Information TechnologyBennett UniversityUnited States of African Health OrganizationAutomation of Postal systems has the major research scope in the field of automation. To create Postal Automation set-up for countries like India is a tedious task if compared with other countries because of India’s multiscript and multilingual behavior. This work will help in recognizing the “Gurmukhi” handwritten district names of the State Punjab. To recognize the district names, a CNN-based architecture is proposed by employing a Holistic approach. For this, an image database of 22000 samples is prepared having 1000 sample images for every district name which is collected from 500 different writers. Maximum accuracy on validation data achieved by the proposed Model is 99%.http://dx.doi.org/10.1155/2022/6580839 |
| spellingShingle | Sandhya Sharma Sheifali Gupta Deepali Gupta Sapna Juneja Hamza Turabieh Lokesh Sharma Zelalem Kiros Bitsue Optimized CNN-Based Recognition of District Names of Punjab State in Gurmukhi Script Journal of Mathematics |
| title | Optimized CNN-Based Recognition of District Names of Punjab State in Gurmukhi Script |
| title_full | Optimized CNN-Based Recognition of District Names of Punjab State in Gurmukhi Script |
| title_fullStr | Optimized CNN-Based Recognition of District Names of Punjab State in Gurmukhi Script |
| title_full_unstemmed | Optimized CNN-Based Recognition of District Names of Punjab State in Gurmukhi Script |
| title_short | Optimized CNN-Based Recognition of District Names of Punjab State in Gurmukhi Script |
| title_sort | optimized cnn based recognition of district names of punjab state in gurmukhi script |
| url | http://dx.doi.org/10.1155/2022/6580839 |
| work_keys_str_mv | AT sandhyasharma optimizedcnnbasedrecognitionofdistrictnamesofpunjabstateingurmukhiscript AT sheifaligupta optimizedcnnbasedrecognitionofdistrictnamesofpunjabstateingurmukhiscript AT deepaligupta optimizedcnnbasedrecognitionofdistrictnamesofpunjabstateingurmukhiscript AT sapnajuneja optimizedcnnbasedrecognitionofdistrictnamesofpunjabstateingurmukhiscript AT hamzaturabieh optimizedcnnbasedrecognitionofdistrictnamesofpunjabstateingurmukhiscript AT lokeshsharma optimizedcnnbasedrecognitionofdistrictnamesofpunjabstateingurmukhiscript AT zelalemkirosbitsue optimizedcnnbasedrecognitionofdistrictnamesofpunjabstateingurmukhiscript |