Analysis and Application of Palmprint patterns

杨霄 [email protected]

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.