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@inproceedings{Darian_palms25,

title = {SynPalms: Palm Identification with Synthetic Data},

author = {Darian TOMAŠEVIĆ and Blaž ŠPACAPAN and Ani PERUŠIĆ and Domagoj PINČIĆ and Blaž MEDEN and David FREIRE-OBREGÓN and Žiga EMERŠIČ and Vitomir ŠTRUC Peter PEER and Diego SUŠANJ},

url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11169785},

doi = {10.1109/ICUFN65838.2025.11169785},

year  = {2025},

date = {2025-07-11},

booktitle = {16th International Conference on Ubiquitous and Future Networks (ICUFN 2025)},

pages = {359-361},

abstract = {Person identification systems based on biometric modalities, such as hand images, require extensive and diverse datasets for effective training. However, real-world datasets are often limited in size and variability, leading to poor generalization, while strict privacy regulations constrain their sharing and use. To address these issues, we introduce the SynPalms framework, an approach for generating diverse palmar-side hand images of novel synthetic identities achieved with identity mixing during sampling. We investigate the impact of synthetic data on a ResNet50-based identification system by comparing the classification accuracy obtained when training with either real-world or synthetic images, as well as when utilizing both real and synthetic data. Our experiments demonstrate the trade-off between classification accuracy and subject privacy, highlighting the potential of synthetic data for training biometric identification systems in a privacy-preserving manner.},

keywords = {biometrics, data synthesis, generative AI, palmprint recognition},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{BioID2008,

title = {A palmprint verification system based on phase congruency features},

author = {Vitomir Štruc and Nikola Pavešić},

editor = {Ben Schouten and Niels Christian Juul and Andrzej Drygajlo and Massimo Tistarelli},

url = {https://lmi.fe.uni-lj.si/en/apalmprintverificationsystembasedonphasecongruencyfeatures/},

doi = {10.1007/978-3-540-89991-4_12},

year  = {2008},

date = {2008-01-01},

urldate = {2008-01-01},

booktitle = {Biometrics and Identity Management},

volume = {5372},

pages = {110-119},

publisher = {Springer-Verlag},

address = {Berlin, Heidelberg},

series = {Lecture Notes on Computer Science},

abstract = {The paper presents a fully automatic palmprint verification system which uses 2D phase congruency to extract line features from a palmprint image and subsequently performs linear discriminant analysis on the computed line features to represent them in a more compact manner. The system was trained and tested on a database of 200 people (2000 hand images) and achieved a false acceptance rate (FAR) of 0.26% and a false rejection rate (FRR) of 1.39% in the best performing verification experiment. In a comparison, where in addition to the proposed system, three popular palmprint recognition techniques were tested for their verification accuracy, the proposed system performed the best.},

keywords = {feature extraction, palmprint recognition, palmprint verification, palmprints, performance evaluation},

pubstate = {published},

tppubtype = {inproceedings}

}