Localisation of Numerical Date Field in an Indian Handwritten Document
S Arunkumar, Pallab Kumar Sahu, Sudeep Gorai, Kalyan Ghosh

TL;DR
This paper presents a method for localizing date fields in Indian handwritten documents by analyzing spatial patterns and classifying date formats, demonstrating promising results.
Contribution
The paper introduces a novel algorithm that uses statistical analysis to identify date fields in handwritten Indian documents, considering various date formats.
Findings
High accuracy in localizing date fields
Effective classification of Indian date formats
Promising performance demonstrated
Abstract
This paper describes a method to localise all those areas which may constitute the date field in an Indian handwritten document. Spatial patterns of the date field are studied from various handwritten documents and an algorithm is developed through statistical analysis to identify those sets of connected components which may constitute the date. Common date patterns followed in India are considered to classify the date formats in different classes. Reported results demonstrate promising performance of the proposed approach
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Taxonomy
TopicsHandwritten Text Recognition Techniques · Image Processing and 3D Reconstruction · Image Retrieval and Classification Techniques
