The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Demographic Classification with Local Binary Patterns
Open accessOverview
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.
Integrity signals
Registry
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.
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
Cites
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017623 · Cited by 15,398
A comparative study of texture measures with classification based on featured distributions
Ojala, T., Pietikäinen, M., & Harwood, D. (1996) · Pattern Recognition · doi:10.1016/0031-3203(95)00067-4 · Cited by 6,882
Face Recognition with Local Binary Patterns
Ahonen, T., Hadid, A., & Pietikäinen, M. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-24670-1_36 · Cited by 2,462
Cited by
Age Synthesis and Estimation via Faces: A Survey
Fu, Y., Guo, G., & Huang, T. S. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.36 · Cited by 569
Ordinal hyperplanes ranker with cost sensitivities for age estimation
Chang, K.-Y., Chen, C.-S., & Hung, Y.-P. (2011) · CVPR 2011 · doi:10.1109/cvpr.2011.5995437 · Cited by 342
Gender and texture classification: A comparative analysis using 13 variants of local binary patterns
Hadid, A., Ylioinas, J., Bengherabi, M., Ghahramani, M., & Taleb-Ahmed, A. (2015) · Pattern Recognition Letters · doi:10.1016/j.patrec.2015.04.017 · Cited by 41
Recognizing age-separated face images: humans and machines
Yadav, D., Singh, R., Vatsa, M., & Noore, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112234 · Cited by 22
Metadata
- Authors
- Yang, Z., & Ai, H.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2007-08-29
- Pages
- 464-473
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2137802466
- Cited by
- 232
- References
- 3
- FWCI
- 7.12
- Type
- conference paper
- Language
- en
- Open access
- bronze
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: Demographic Classification with Local Binary Patterns. https://app.cochat.ai/papers/10.1007/978-3-540-74549-5_49
- The paper
- Yang, Z., & Ai, H. (2007). Demographic Classification with Local Binary Patterns. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-74549-5_49
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.
