Child Palm-ID: Contactless Palmprint Recognition for Children
- URL: http://arxiv.org/abs/2305.05161v1
- Date: Tue, 9 May 2023 04:08:14 GMT
- Title: Child Palm-ID: Contactless Palmprint Recognition for Children
- Authors: Akash Godbole, Steven A. Grosz, and Anil K. Jain
- Abstract summary: Biometric authentication technology has been investigated to address child recognition in the absence of reliable ID documents.
We present a mobile-based contactless palmprint recognition system, called Child Palm-ID, which meets the requirements of usability, hygiene, cost, and accuracy for child recognition.
The proposed Child Palm-ID system is also able to recognize adults, achieving a TAR=99.4% on the CASIA contactless palmprint database and a TAR=100% on the COEP contactless adult palmprint database.
- Score: 36.05807963935458
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Effective distribution of nutritional and healthcare aid for children,
particularly infants and toddlers, in some of the least developed and most
impoverished countries of the world, is a major problem due to the lack of
reliable identification documents. Biometric authentication technology has been
investigated to address child recognition in the absence of reliable ID
documents. We present a mobile-based contactless palmprint recognition system,
called Child Palm-ID, which meets the requirements of usability, hygiene, cost,
and accuracy for child recognition. Using a contactless child palmprint
database, Child-PalmDB1, consisting of 19,158 images from 1,020 unique palms
(in the age range of 6 mos. to 48 mos.), we report a TAR=94.11% @ FAR=0.1%. The
proposed Child Palm-ID system is also able to recognize adults, achieving a
TAR=99.4% on the CASIA contactless palmprint database and a TAR=100% on the
COEP contactless adult palmprint database, both @ FAR=0.1%. These accuracies
are competitive with the SOTA provided by COTS systems. Despite these high
accuracies, we show that the TAR for time-separated child-palmprints is only
78.1% @ FAR=0.1%.
Related papers
- EMPalm: Exfiltrating Palm Biometric Data via Electromagnetic Side-Channels [54.460942487872416]
EM emissions leak palm biometric information.<n> EMPalm is an attack framework that covertly recovers both palmprint and palmvein images from eavesdropped EM signals.
arXiv Detail & Related papers (2025-10-08T20:50:19Z) - Mobile Contactless Palmprint Recognition: Use of Multiscale, Multimodel
Embeddings [26.774583290826193]
This study integrates a vision transformer (ViT) and a convolutional neural network (CNN) to extract complementary local and global features.
Next, a mobile-based, end-to-end palmprint recognition system is developed, referred to as Palm-ID.
Palm-ID balances the trade-off between accuracy and latency, requiring just 18ms to extract a template of size 516 bytes.
arXiv Detail & Related papers (2024-01-16T04:42:54Z) - RPG-Palm: Realistic Pseudo-data Generation for Palmprint Recognition [26.82617300073746]
We propose a novel realistic pseudo-palmprint generation model to synthesize palmprints with massive identities.
Our model improves the state-of-the-art B'ezierPalm by more than $5%$ and $14%$ in terms of TAR@FAR=1e-6 under the $1:1$ and $1:3$ Open-set protocol.
Our method still outperforms ArcFace with $100%$ real training data, indicating that we are closer to real-data-free palmprint recognition.
arXiv Detail & Related papers (2023-07-26T07:57:56Z) - Child PalmID: Contactless Palmprint Recognition [37.61800928550628]
This report establishes a baseline accuracy of a commercial contactless palmprint recognition system.
On a database of contactless palmprint images of one thousand unique palms from 500 children, we establish SOTA authentication accuracy of 90.85%.
arXiv Detail & Related papers (2022-12-14T16:02:45Z) - Infant-ID: Fingerprints for Global Good [41.454970577461545]
In many of the least developed and developing countries, a multitude of infants continue to suffer and die from vaccine-preventable diseases and malnutrition.
We propose Infant-Prints, an end-to-end, low-cost, infant fingerprint recognition system.
Infant-Prints is comprised of our (i) custom built, compact, low-cost (85 USD), high-resolution (1,900 ppi), ergonomic fingerprint reader, and (ii) high-resolution infant fingerprint matcher.
arXiv Detail & Related papers (2020-10-07T19:51:52Z) - Towards Palmprint Verification On Smartphones [62.279124220123286]
Studies in the past two decades have shown that palmprints have outstanding merits in uniqueness and permanence.
We built a DCNN-based palmprint verification system named DeepMPV+ for smartphones.
The efficiency and efficacy of DeepMPV+ have been corroborated by extensive experiments.
arXiv Detail & Related papers (2020-03-30T08:31:03Z) - Child Face Age-Progression via Deep Feature Aging [47.74474569938014]
We propose a feature aging module that can age-progress deep face features output by a face matcher.
The proposed method also outperforms state-of-the-art approaches with a rank-1 identification rate of 95.91%.
arXiv Detail & Related papers (2020-03-17T23:03:46Z) - Investigating the Impact of Inclusion in Face Recognition Training Data
on Individual Face Identification [93.5538147928669]
We audit ArcFace, a state-of-the-art, open source face recognition system, in a large-scale face identification experiment with more than one million distractor images.
We find a Rank-1 face identification accuracy of 79.71% for individuals present in the model's training data and an accuracy of 75.73% for those not present.
arXiv Detail & Related papers (2020-01-09T15:50:28Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.