Document Type

Conference Proceeding

Publication Date


Publication Title

International Conference on Document Analysis and Recognition


Alignment tasks generally seek to establish a spatial correspondence between two versions of a text, for example between a set of manuscript images and their transcript. This paper examines a different form of alignment problem, namely pixel-scale alignment between two renditions of a handwritten word or phrase. Using loopy inkball graph models, the proposed technique finds spatial correspondences between two text images such that similar parts map to each other. The method has applications to word spotting and signature verification, and can provide analytical tools for the study of handwriting variation.


alignment, inkball, handwriting, pattern recognition

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.


“Licensed to Smith College and distributed CC-BY under the Smith College Faculty Open Access Policy.”


Author’s submitted manuscript.



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