Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Pedigree Analysis01:35

Pedigree Analysis

85.9K
Overview
85.9K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.4K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
6.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hybrid deep ensemble architecture for robust diabetic retinopathy classification: leveraging transfer learning and CNN-transformer synergy.

Scientific reports·2026
Same author

A Hybrid Deep Learning Framework for Automated Dental Disorder Diagnosis from X-Ray Images.

Journal of clinical medicine·2026
Same author

Editorial: Smart dietary management for precision diabetes mellitus care.

Frontiers in nutrition·2026
Same author

Improving dental disease diagnosis using a cross attention based hybrid model of DeiT and CoAtNet.

Scientific reports·2026
Same author

Vision and convolutional transformers for Alzheimer's disease diagnosis: a systematic review of architectures, multimodal fusion and critical gaps.

Brain informatics·2025
Same author

4DfCF: 4D fMRI CrossFormer Vision Transformer.

IEEE journal of biomedical and health informatics·2025

Related Experiment Video

Updated: Oct 8, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.4K

Kinship verification and recognition based on handcrafted and deep learning feature-based techniques.

Nermeen Nader1, Fatma El-Zahraa El-Gamal1, Shaker El-Sappagh2,3

  • 1Information Technology Department, Faculty of Computers and Information, Mansoura University, Mansoura, Egypt.

Peerj. Computer Science
|January 3, 2022
PubMed
Summary
This summary is machine-generated.

This survey reviews kinship verification and recognition (KVR) using facial images, detailing methods from handcrafted features to deep learning. It highlights applications, datasets, and limitations, guiding future research in this area.

Keywords:
Benchmark datasetsDeep learning techniquesHandcrafted feature-based techniquesKinship recognitionKinship verification

More Related Videos

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

1.8K
Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

821

Related Experiment Videos

Last Updated: Oct 8, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.4K
Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

1.8K
Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

821

Area of Science:

  • Computer Vision
  • Biometrics
  • Artificial Intelligence

Background:

  • Kinship verification and recognition (KVR) uses facial images to identify genetic relationships.
  • KVR has significant applications in forensics, genealogy, and finding lost family members.

Purpose of the Study:

  • To provide a comprehensive survey of kinship verification and recognition (KVR) techniques.
  • To review KVR applications, kinship types, and datasets.
  • To identify limitations and future research directions in KVR.

Main Methods:

  • A literature survey methodology was employed using academic databases.
  • Inclusion and exclusion criteria were established for article selection.
  • Articles were analyzed to present KVR stages and associated methods.

Main Results:

  • Handcrafted features, metric learning, and deep learning are widely used in KVR.
  • The survey discusses various datasets utilized for kinship verification and recognition.

Conclusions:

  • Despite advancements, challenges like age and gender variations persist in KVR.
  • This survey aids researchers in identifying areas needing further investigation and development.