Hand recognition by wavelet transform and neural network

Wei Wang; Zhonghao Bao; Qiang Meng; Gerald M. Flachs; Jay B. Jordan; Jeffrey J. Carlson

doi:10.1117/12.213067

5 July 1995 Hand recognition by wavelet transforms and neural networks

Wei Wang, Zhonghao Bao, Qiang Meng, Gerald M. Flachs, Jay B. Jordan, Jeffrey J. Carlson

Proceedings Volume 2484, Signal Processing, Sensor Fusion, and Target Recognition IV; (1995) https://doi.org/10.1117/12.213067
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

A new approach to human hand recognition is presented. It combines concepts from image segmentation, contour representation, wavelet transforms, and neural networks. With this approach, people are distinguished by their hands. After obtaining a person's hand contour, each finger of the hand is located and separated based on its points of sharp curvature. A two dimensional (2-D) finger contour is then mapped to a one dimensional (1-D) functional representation of the boundary called a finger signature. The wavelet transform then decomposes the finger signature signal into lower resolutions retaining the most significant features. The energy at each stage of the decomposition is calculated to extract the features of each finger. A three layer artificial neural network with back propagation training is employed to measure the performance of the wavelet transform. A database consisting of five hand images obtained from twenty-eight different people is used in the experiment. Three of the images are used for training the neural network. The other two are used for testing the algorithm. Results presented illustrate high accuracy human recognition using this scheme.

Citation Download Citation

Wei Wang, Zhonghao Bao, Qiang Meng, Gerald M. Flachs, Jay B. Jordan, and Jeffrey J. Carlson "Hand recognition by wavelet transforms and neural networks", Proc. SPIE 2484, Signal Processing, Sensor Fusion, and Target Recognition IV, (5 July 1995); https://doi.org/10.1117/12.213067

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available