Enhancing Handwritten Character Recognition with XGBoost: A Machine Learning Approach
Author:
Affiliation:
1. Chennai Institute of Technology,Department of Biomedical Engineering,Chennai,India
2. Chennai Institute of Technology,Department of Electronics and Communication Engineering,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10452407/10452427/10452531.pdf?arnumber=10452531
Reference17 articles.
1. Hidden Markov Models for Off-Line Cursive Handwriting Recognition
2. Improving Offline Handwritten Text Recognition with Hybrid HMM/ANN Models
3. Handwritten English Character Recognition Using Neural;Pal & Dayashankar Singh;Network International Journal of Computer Science & Communication,2010
4. Diagonal Based Feature Extraction for Handwritten Alphabets Recognition System Using Neural Network
5. Offline Handwriting Recognition using various Hybrid Modeling Techniques & Character N-Grams;Brakensiek,2000
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