Palm extraction and identification

Authors:
Ching-Liang Su
Affiliations:
Department of Industrial Engineering and Technology Management, Da Yeh University, 112 Shan-Jiau Road, Da-Tsuen, Chang-Hua 51505, Taiwan
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

Citing 11
Cited 3

Biometric Identification through Hand Geometry Measurements

IEEE Transactions on Pattern Analysis and Machine Intelligence
Palmprint recognition using eigenpalms features

Pattern Recognition Letters
Combining implicit polynomials and geometric features for hand recognition

Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Technique for Personal Identification: Using the Extracted Index Finger Image to Identify Individuals

Journal of Intelligent and Robotic Systems
Using B-Spline Curves for Hand Recognition

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Hand biometrics

Image and Vision Computing
Model-guided deformable hand shape recognition without positioning aids

Pattern Recognition
Personal verification using palmprint and hand geometry biometric

AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Personal authentication using 3-D finger geometry

IEEE Transactions on Information Forensics and Security
1998 Index IEEE Trans Actions On Image Processing Vol. 7

IEEE Transactions on Image Processing
Biometric verification using thermal images of palm-dorsa vein patterns

IEEE Transactions on Circuits and Systems for Video Technology

Online joint palmprint and palmvein verification

Expert Systems with Applications: An International Journal
Stockwell transform based palm-print recognition

Applied Soft Computing
Gait verification using knee acceleration signals

Expert Systems with Applications: An International Journal

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Abstract

This study uses an extracting technique to obtain palm images. The algorithm proposed in this study can determine the precise locations of fingertips and finger-to-finger-valleys on a hand. After locating these positions, palm images can be extracted. Such images contain many useful geometrical features, which can be used to identify palms. The orientations and centroids of palms are identified in this study. Image rotation, shifting, and interpolation techniques are used to align different palms to the same position for geometrical comparison.