Automatic Palmprint Verification

Abstract

Automic palmprint verification is an important complement of biometric authentication. As the first attempt of personal identification by palmprint, this paper explores different methods for three main processing stages in palmprint verification including datum point registration, line feature extraction and palmprint classification. The datum points of palmprint which have the remarkable advantage of invariable location are defined and their determination method using the directional projection algorithm is improved. Then, line feature extraction and line matching method is described to detect whether a couple of palmprints are from the same palm. In addition, palmprint classification method based on the orientation property of the ridges is discussed to distinguish six typical cases. Various palmprint images have been tested to illustrate the effectiveness of the proposed methods.

A Palmprint Recognition Algorithm Based on Harris Synthetically Method

“…From 2000 to date, people continually applied three principal palm-lines [8] , the orientation feature of ridges [9] , feature point [10] and morphology method [11] to design recognition algorithms.…”

Research of Palmprint Recognition Based on 2DPCA

“…Generally speaking, palmprint recognition methods can be broadly divided into two major categories: palmprints based on structural characteristics and based on statistical methods to identify the characteristics. The method based on the characteristics of the structure of the palmprints use the line features [3] or mastoid direction [4] to identify. These methods is mostly affected by higher-resolution images; The method based on the statistics characteristics is to carry out some kind of transform of palmprint images, which make the feature extraction of palmprints easier between domain or obtain the features at a lower dimension.…”

Texture-based palmprint retrieval using a layered search scheme for personal identification

“…To verify whether two palmprints are from the same palm, a line feature extraction method has been proposed [6], [12]- [15]. These features are based on points and line segments and represented by binary point or line maps.…”