Knowledge driven Offline to Online Script Conversion
Sunil Kopparapu, Devanuj, Akhilesh Srivastava, P.V.S. Rao

TL;DR
This paper presents a heuristic-based method to convert offline script images into online script data, enabling the use of online algorithms on offline signatures.
Contribution
It introduces a novel heuristic approach for extracting online script information from offline bitmap images, addressing the ill-posed offline to online conversion problem.
Findings
Effective extraction of online script data from offline images demonstrated.
Method performs well on real signature samples with known online data.
Provides a foundation for applying online algorithms to offline script analysis.
Abstract
The problem of offline to online script conversion is a challenging and an ill-posed problem. The interest in offline to online conversion exists because there are a plethora of robust algorithms in online script literature which can not be used on offline scripts. In this paper, we propose a method, based on heuristics, to extract online script information from offline bitmap image. We show the performance of the proposed method on a real sample signature offline image, whose online information is known.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsImage Retrieval and Classification Techniques · Advanced Image and Video Retrieval Techniques · Handwritten Text Recognition Techniques
