paper-with-me

홈 › Papers

Infant-ID: Fingerprints for Global Good

2020-10-07 · Joshua J. Engelsma, Debayan Deb, Kai Cao, Anjoo Bhatnagar, Prem S. Sudhish, Anil K. Jain

In many of the least developed and developing countries, a multitude of infants continue to suffer and die from vaccine-preventable diseases and malnutrition. Lamentably, the lack of official identification documentation makes it exceedingly difficult to track which infants have been vaccinated and which infants have received nutritional supplements. Answering these questions could prevent this infant suffering and premature death around the world. To that end, 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. To evaluate the efficacy of Infant-Prints, we collected a longitudinal infant fingerprint database captured in 4 different sessions over a 12-month time span (December 2018 to January 2020), from 315 infants at the Saran Ashram Hospital, a charitable hospital in Dayalbagh, Agra, India. Our experimental results demonstrate, for the first time, that Infant-Prints can deliver accurate and reliable recognition (over time) of infants enrolled between the ages of 2-3 months, in time for effective delivery of vaccinations, healthcare, and nutritional supplements (TAR=95.2% @ FAR = 1.0% for infants aged 8-16 weeks at enrollment and authenticated 3 months later).

📄 PDF Abstract BibTeX arXiv:2010.03624

Code (1)

engelsjo/RaspiReader 공식 구현

Tasks

TAR

Similar Papers 제목 키워드 기반

Infant-Prints: Fingerprints for Reducing Infant Mortality

2019-04-01 · Joshua J. Engelsma, Debayan Deb, Anil K. Jain, Prem S. Sudhish 외

In developing countries around the world, a multitude of infants continue to suffer and die from vaccine-preventable diseases, and malnutrition. Lamentably, the lack of any official identification documentation makes it …

TAR

Iterative Framework For Data Augmentation Of Segmented Fingerprints

2026-05-29 · João Leonardo H. D. Agnol, Wesley Augusto de Bona, Erick Oliveira Rodrigues, Luiz Fernando Puttow Southier 외 arxiv

Infant biometrics presents unique challenges due to the physiological differences between infants and adults, compounded by the scarcity of available data for research that limits the development of robust matching syste…

Data Augmentation

Recursive Class Connectivity Classification (R3C) Applied to Binary Image Segmentation for Improved Infant Fingerprint Enhancement

2026-05-25 · Joao Leonardo Harres Dall Agnol, Luiz Fernando Puttow Southier, Jefferson Tales 0liva, Marcelo Teixeira 외 arxiv

Image enhancement plays a crucial role in infant fingerprint matching, as child-specific characteristics such as smaller finger dimensions and thinner ridge structures often degrade image quality during acquisition. To a…

Image SegmentationImage Enhancement

Biometrics for Child Vaccination and Welfare: Persistence of Fingerprint Recognition for Infants and Toddlers

2015-04-17 · Anil K. Jain, Sunpreet S. Arora, Lacey Best-Rowden, Kai Cao 외

With a number of emerging applications requiring biometric recognition of children (e.g., tracking child vaccination schedules, identifying missing children and preventing newborn baby swaps in hospitals), investigating …

Statistical Descriptors-based Automatic Fingerprint Identification: Machine Learning Approaches

2019-07-18 · Hamid Jan, Amjad Ali, Shahid Mahmood, Gautam Srivastava

Identification of a person from fingerprints of good quality has been used by commercial applications and law enforcement agencies for many years, however identification of a person from latent fingerprints is very diffi…

BIG-bench Machine Learningfingerprint verification