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A guided manual method for juvenile age progression using digital images.

Ching Yiu Jessica Liu¹, Caroline Wilkinson²

¹Face Lab, IC1 Liverpool Science Park, 131 Mount Pleasant, Liverpool, L3 5TF, United Kingdom.

Forensic Science International

|February 18, 2020

Summary

This study introduces a new digital manual age progression workflow for children, combining anthropometric and digital measurements. While repeatable, facial feature accuracy varies, highlighting the role of artistic interpretation in age progression.

Keywords:

Facial identification Forensic art Juvenile age progression

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Area of Science:

Forensic Science
Anthropometry
Digital Image Processing

Background:

Age progression methods alter facial images for predicting age-related changes in children.
Existing techniques lack standardization, leading to variations among practitioners.
Need for a reliable, repeatable digital workflow for juvenile age progression.

Purpose of the Study:

To develop and evaluate a novel digital manual age progression workflow for juvenile subjects.
To assess the repeatability and accuracy of the proposed method using anthropometric measurements.
To compare the performance of age-progressed images using manual and machine-based recognition.

Main Methods:

Combined longitudinal radiographic data, physical anthropometric measurements, and digital image analysis.
Utilized 12 facial anthropometric measurements to create a new digital manual age progression workflow.
Conducted an inter-observer error study with 5 practitioners and compared results using face recognition APIs.

Main Results:

The proposed workflow demonstrated satisfactory repeatability, with seven measurements showing <8.60% error.
Horizontal measurements were more accurate than vertical ones; nasion-trichion measurements showed high inconsistency (14-34%).
Facial recognition API confidence scores indicated variability in age progression performance across practitioners and systems.

Conclusions:

The new digital manual age progression workflow aids feature positioning but relies on artistic interpretation.
Accuracy varies between practitioners and facial recognition systems, indicating a need for further standardization.
The study highlights the challenges in achieving objective and consistent age progression for juvenile faces.