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Samsung · Security · Filed Jun 12, 2026 · USPTO published Nov 12, 2026 · This week's release

Samsung Files Patent for Fingerprint Unlocking That Still Works on Dry or Scarred Fingers

Samsung's filing describes reading a damaged fingerprint the way you follow a broken dotted line: keep heading the same direction until the line picks back up. It even treats the gaps as a clue for spotting scars.

Fingerprint scans comparing a normal print to damaged patterns caused by dry skin and scars. Drawing from patent filing US 2026/0360179 A1.
Fingerprint scans comparing a normal print to damaged patterns caused by dry skin and scars.All 20 drawings ↓
Publication number
US 2026/0360179 A1(US20260360179A1)
Applicant
SAMSUNG ELECTRONICS CO., LTD.
Filed · Published
Jun 12, 2026 · Nov 12, 2026
Inventors
Youngbae JEON, Jungil CHO, Moongyu JUNG, Joonghwan LEE, Jongsung LEE, Jaewoo SEO, Iljoo KIM, Bumjun KWON
Status when we published
Waiting for an examiner
Document
20 claims
US classification
382/125
Parent application
Continuation of PCT/KR2026/096292 (filed Apr 24, 2026)(PCTKR2026096292)

What Samsung's fingerprint line-tracing does

Every time you press your thumb to your phone, a sensor takes a picture of the tiny ridges on your skin, and the phone tries to match it to the one it has on file. That works well when your finger is in good shape. When your skin is dry, or a scar interrupts the pattern, the picture comes out faint or broken, and the phone can misread it.

Samsung's patent describes a way to follow each ridge like a path. The phone guesses where the line goes next based on how it has been heading and how sharply it has been curving. Then it checks the image and nudges the guess onto the real line. If the image goes blank for a few steps, it keeps going instead of giving up.

Those blank stretches turn out to be useful too. When a lot of them bunch together, the phone can mark that spot as a likely scar.

From the filing · CLAIM 1
predicting a next point of a ridge path, based on a current point and motion state parameters; adjusting the predicted next point and updating the motion state parameters, based on the predicted next point and pixel values of the fingerprint image …

Translation: The software guesses where the fingerprint line goes next and corrects its guess using the actual image.

How the scanner guesses, checks and skips gaps

Claim 1 covers a loop that traces one fingerprint ridge (the raised lines that make up a print) at a time. Starting from a point in the image, the device predicts the next point from the current position plus motion state parameters, which are numbers describing how the line is moving. It then adjusts that guess using the image's pixel values, updates the numbers, and repeats until a whole ridge is identified.

Later claims add detail. The motion numbers are velocity and acceleration, so the tracker can follow sharp curves. The correction uses maximum likelihood estimation (picking the position that best explains the pixels it sees), with a bell-curve function sized to the average ridge thickness. If the likelihood falls below a threshold, the device skips the adjustment and keeps predicting.

Tracking of a ridge ends when either of these happens:

  • The number of skipped points passes a threshold (the filing's examples use values like 2, 3 or 4).
  • The path runs into another ridge at an angle past a threshold.

Afterward, connections between ridges can be optimized, and clusters of skipped points can be used to estimate a scar. The description also covers running two models, one keeping scars and one with scars restored, and averaging their match scores.

Why dry and scarred fingers are the target

If your phone has ever rejected a dry thumb, Samsung is going after that everyday annoyance. The filing says dry skin and scars can leave ridges broken, so a print is missed or misread. Fingerprints guard unlocking, payments and file access, so fewer misreads would mean fewer repeated tries. The filing lists smartphones, tablets, laptops, smart TVs and signage as possible devices.

There is a security tradeoff, and the filing admits it. Counting a scar as part of your print can help a match, but a fake scar made with a sticker could fool the system. That is why the description blends the scores of two models, one with scars and one with scars restored. It is a patent application, so nothing here says a product is on the way.

Samsung's 1612th filing in our Samsung coverage since May follows the adaptive surround sound application and the in-memory AI chip filing.

Source: US 2026/0360179 A1 at the USPTO (PDF). Full patent text and figures are in the official publication.

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The drawings · 20 sheets

20 drawing sheets from US 2026/0360179 A1 · click any drawing to enlarge

Mapping ridge endings and splits to recognize a fingerprint, drawing sheet 1 from US 2026/0360179 A1
Sheet 1 Mapping ridge endings and splits to recognize a fingerprint
Scans showing how dry skin and scars disrupt fingerprint ridges, drawing sheet 2 from US 2026/0360179 A1
Sheet 2 Scans showing how dry skin and scars disrupt fingerprint ridges
Hardware inside a phone that reads fingerprints, drawing sheet 3 from US 2026/0360179 A1
Sheet 3 Hardware inside a phone that reads fingerprints
Broken lines in scans mistake ridge splits for ends, drawing sheet 4 from US 2026/0360179 A1
Sheet 4 Broken lines in scans mistake ridge splits for ends
Steps for tracing ridge paths and learning around scars, drawing sheet 5 from US 2026/0360179 A1
Sheet 5 Steps for tracing ridge paths and learning around scars
Measuring ridge thickness across different scan angles, drawing sheet 6 from US 2026/0360179 A1
Sheet 6 Measuring ridge thickness across different scan angles
How the software predicts and follows a ridge line, drawing sheet 7 from US 2026/0360179 A1
Sheet 7 How the software predicts and follows a ridge line
Adding acceleration data keeps tracking steady around sharp curves, drawing sheet 8 from US 2026/0360179 A1
Sheet 8 Adding acceleration data keeps tracking steady around sharp curves
Show the other 12 sheets
How the phone follows a curved fingerprint ridge, drawing sheet 9 from US 2026/0360179 A1
Sheet 9 How the phone follows a curved fingerprint ridge
Estimating where the ridge line travels next, drawing sheet 10 from US 2026/0360179 A1
Sheet 10 Estimating where the ridge line travels next
Correcting a predicted path point to match the actual ridge, drawing sheet 11 from US 2026/0360179 A1
Sheet 11 Correcting a predicted path point to match the actual ridge
Skipping corrections when the scanner senses a clear ridge path, drawing sheet 12 from US 2026/0360179 A1
Sheet 12 Skipping corrections when the scanner senses a clear ridge path
Halting ridge tracking after repeated missed points, drawing sheet 13 from US 2026/0360179 A1
Sheet 13 Halting ridge tracking after repeated missed points
Tracing an adjacent ridge when one line ends, drawing sheet 14 from US 2026/0360179 A1
Sheet 14 Tracing an adjacent ridge when one line ends
Finding starting points along the edges of the print scan, drawing sheet 15 from US 2026/0360179 A1
Sheet 15 Finding starting points along the edges of the print scan
Pairing up broken ridge segments across dry skin gaps, drawing sheet 16 from US 2026/0360179 A1
Sheet 16 Pairing up broken ridge segments across dry skin gaps
Removing mistaken cross connections to cleanly separate adjacent lines, drawing sheet 17 from US 2026/0360179 A1
Sheet 17 Removing mistaken cross connections to cleanly separate adjacent lines
Detecting a scar to ignore broken fingerprint lines, drawing sheet 18 from US 2026/0360179 A1
Sheet 18 Detecting a scar to ignore broken fingerprint lines
Matching natural ridges and scars together to verify your identity, drawing sheet 19 from US 2026/0360179 A1
Sheet 19 Matching natural ridges and scars together to verify your identity
Combining scar-aware and scar-repaired analyses to score a match, drawing sheet 20 from US 2026/0360179 A1
Sheet 20 Combining scar-aware and scar-repaired analyses to score a match
Patent filing page

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