Analysis and Application of
Palmprint patterns
杨霄
xiao-yang09@mails.tsinghua.edu.cn
2011年12月1日
Analysis and Application of Palmprint patterns
● Introduction of palmprint
● Palmprint patterns
● Application
Analysis and Application of Palmprint patterns
● Introduction of palmprint
● Palmprint patterns
● Application
Introduction of palmprint
● Palmprint: combination of ridge and crease
● Forming time
● Three Levels of Features
● Collecting
Introduction of palmprint
● Three Levels of Features
• Global
• Local
• Fine
Introduction of palmprint
● Collecting
• Inked
• Live-scan
• Latent
Analysis and Application of Palmprint patterns
● Introduction of palmprint
● Palmprint patterns
● Application
Palmprint patterns
● “Searching smart before you search hard”
● Major areas
● Ridge flows
● Crease formations
● Latent print shapes
● Usage: to determine
• Specific palm area
• Correct direction
• Correct hand
Palmprint patterns
● Major areas
Palmprint patterns
● Ridge flows
• General ridge flow is quite often repeated in the vast
majority of palmprints
• Patterns in different areas
− Thenar
− Hypothenar
− Interdigital
Palmprint patterns
● Ridge flows: Thenar
• Half-Moon
• Long-Short
Palmprint patterns
● Ridge flows: Thenar
• Vestige
• Long & Short Square Nose Loops
Palmprint patterns
● Ridge flows: Thenar
• Flip area
Palmprint patterns
● Ridge flows: Hypothenar
• Undisturbed ridges running parallel
• Down & Out and Funnel Area
Palmprint patterns
● Ridge flows: Hypothenar
• Belly-Out
• Carpal Delta and Hump
Palmprint patterns
● Ridge flows: Hypothenar
• Outward Nose Loop with one or two Delta(s)
Palmprint patterns
● Ridge flows: Hypothenar
• Inward Nose Loop
• Combinations: double loop, downward nose loop, whorl
Palmprint patterns
● Ridge flows: Hypothenar
• Delta Shift
• High Carpal Delta
Palmprint patterns
● Ridge flows: Interdigital
• Waterfall
• Deltas
Palmprint patterns
● Ridge flows: Interdigital
• More or less than 4 deltas
• Loops
Palmprint patterns
● Ridge flows: Interdigital
• Small loops
• Whorl
Palmprint patterns
● Crease formations
• Patterns in different areas
− Three major crease
− Thenar
− Hypothenar
− Interdigital
Palmprint patterns
● Crease formations: Major crease
• Top: Distal Transverse Crease
• Middle: Proximal Transverse Crease
• Bottom: Radial Longitudinal Crease
Palmprint patterns
● Crease formations: Major crease
• Top Crease
− Crows Feet and Mounded over Flat
− Suicide ridges
− Hypothenar
Palmprint patterns
● Crease formations: Major crease
• Top Crease
− Splitter
− Exiting between the index and middle fingers
− Combination of them
Palmprint patterns
● Crease formations: Major crease
• Middle Crease: starting and ending
Palmprint patterns
● Crease formations: Major crease
• Bottom Crease: exiting
Palmprint patterns
● Crease formations: Thenar
• Starburst Crease (with Feathering)
Palmprint patterns
● Crease formations: Thenar
• Thumb (bracelet) Crease
• Wrist Bracelet Crease
Palmprint patterns
● Crease formations: Thenar
• Edge Crease
• Thenar Scratches
• Thenar Cross-Hatching
Palmprint patterns
● Crease formations: Hypohenar
• Edge Crease
Palmprint patterns
● Crease formations: Interdigital
• Crows Feet
• Solid Crease
Analysis and Application of Palmprint patterns
● Introduction of palmprint
● Palmprint patterns
● Application
Application
● Palmprint registration
● Palmprint recognition
Palmprint registration
● Similarity of palmprint orientation fields
Palmprint registration
● Registration for matching[2]
• Compute the expectation and variance of orientation
field
• Using Generalized Hough Transform and Average
orientation field to roughly registrant palmprints
Palmprint registration
● Registration for indexing[3]
• Multi-reference for more accurate registration
• Considering both the similarity and diversity
Palmprint recognition
● Low resolution[4]
• Using modified finite Radon transform (MFRAT) to
extract the creases
• Matching based on creases
Palmprint recognition
● High resolution[5]
• Using crease energy to evaluate the quality of
different area of a palmprint.
• Using crease as assistant feature.
Thanks!
Q&A
Reference:
[1] Ron Smith and Associates, Inc., “Demystifying palm prints,”
http://www.ronsmithandassociates.com/.
[2] J. Dai, J. Feng, J. Zhou, "Robust and efficient ridge-based palmprint
matching", IEEE Transactions on Pattern Analysis and Machine Intelligence,
2011 (To Appear).
[3] X. Yang, J. Feng, J. Zhou, "Palmprint indexing based on ridge features",
IJCB, Washington, DC, Oct. 11-13, 2011.
[4] D. Huang, W. Jia, and D. Zhang, “Palmprint verification based on
principal lines,” Pattern Recognition, vol. 41, no. 4, pp. 1316–1328, 2008.
[5] J. Dai, J. Zhou, "Multi-feature Based High-resolution Palmprint Recognition,"
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
33(5):945–957, 2011.