Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 83 tok/s
Gemini 2.5 Pro 42 tok/s Pro
GPT-5 Medium 30 tok/s Pro
GPT-5 High 36 tok/s Pro
GPT-4o 108 tok/s Pro
Kimi K2 220 tok/s Pro
GPT OSS 120B 473 tok/s Pro
Claude Sonnet 4 39 tok/s Pro
2000 character limit reached

Spatial Domain Feature Extraction Methods for Unconstrained Handwritten Malayalam Character Recognition (2109.02153v1)

Published 5 Sep 2021 in cs.CV

Abstract: Handwritten character recognition is an active research challenge,especially for Indian scripts. This paper deals with handwritten Malayalam, with a complete set of basic characters, vowel and consonant signs and compound characters that may be present in the script. Spatial domain features suitable for recognition are chosen in this work. For classification, k-NN, SVM and ELM are employed

Citations (2)
List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-Up Questions

We haven't generated follow-up questions for this paper yet.

Authors (1)