Handwritten Analysis for Gender Identification using CNN-Reference-Cited by-同舟云学术

Handwritten Analysis for Gender Identification using CNN

Published:2023-05-26 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference for Emerging Technology (INCET)
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Author:

O Vignesh¹,R Swathy¹,Shiva Sona¹

Affiliation:

1. Easwari Engineering College,Department of ECE,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10169136/10169900/10170411.pdf?arnumber=10170411

Reference17 articles.

1. Using probabilistic finite state automata, gender may be determined using wavelets on offline handwritten data;“nouri;Image and Vision Computing,2017

2. A novel approach for handedness detection from off-line handwriting using fuzzy conceptual reduction

3. Gender and Handedness Prediction from Offline Handwriting Using Convolutional Neural Networks

4. Gender classification from offline multi-script handwriting images using oriented Basic Image Features (oBIFs)

5. Gender classification using textural features from images of fine handwriting;moetesum;ICFHR 2016 Proceedings 15th International Conference on Frontiers in Handwriting Recognition,2016

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