Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,073

The DOI matches its Crossref record.

Shape Discrimination Using Fourier Descriptors

Persoon, Eric, Fu, King-Sun·1977·IEEE Transactions on Systems, Man, and Cybernetics

Abstract

Description or discrimination of boundary curves (shapes) is an important problem in picture processing and pattern recognition. Fourier descriptors (FD's) have interesting properties in this respect. First, a critical review is given of two kinds of FD's. Some properties of the FD's are given and a distance measure is proposed, in terms of FD's, that measures the difference between two boundary curves. It is shown how FD's can be used for obtaining skeletons of objects. Finally, experimental results are given in character recognition and machine parts recognition.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/tsmc.1977.4309681

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 1,073

Metadata

Authors
Persoon, E., & Fu, K.-S.
Venue
IEEE Transactions on Systems, Man, and Cybernetics
Published
1977
Volume
7
Issue
3
Pages
170-179
ISSN
0018-9472 (ISSN-L)
OpenAlex
W2111933145
Cited by
1,073
References
0
FWCI
13.33
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Shape Discrimination Using Fourier Descriptors. https://app.cochat.ai/papers/10.1109/tsmc.1977.4309681
The paper
Persoon, E., & Fu, K.-S. (1977). Shape Discrimination Using Fourier Descriptors. IEEE Transactions on Systems, Man, and Cybernetics. https://doi.org/10.1109/tsmc.1977.4309681

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.