Palm-print recognition for authentication on smartphones

Abstract

In a world where smart phones are becoming ubiquitous and are more powerful than ever, security is becoming an issue. Equipped with good cameras, smart phones are prime candidates for software designed to recognize objects and people around them. By recognizing biometric patterns such as the face, palm-prints or hand knuckles, smart phones can heighten security standards. Depending on the intended action, specific security requirements should be met. For instance, bank services need a reliable authentication system, whereas unlocking a device can use a lower security feature. For this perspective we are working on a database of palm-prints that have only been y and also designing an authentication system based on these results to be used on smartphones.

Toward Unconstrained Palmprint Recognition on Consumer Devices: A Literature Review

“…However, this approach relied on constrained acquisition, as the background was not overly complex. Another approach using Harris corners was proposed by Javidnia et al [72]. After obtaining an initial candidate for the hand region based on skin segmentation, the palm region was located using an iterative process based on the strength of the Harris corners.…”

Towards Palmprint Verification On Smartphones

“…The first kind of local texture descriptors are designed for general applications but are adapted to the field of palmprint verification, such as LBP, HOG [44], SIFT [45] and LDP. In addition, local texture descriptors specially designed for palmprints have been proposed, and the typical ones include LBP+SIFT [7] and IHOL [46].…”

“…However, ignored by many, palmprint is also a great choice for personal identity authentication. Palmprint [5,6,7] refers to the skin pattern on the inner surface of the palm, which mainly includes two characteristics: palm frictional ridges (ridges and valleys like fingerprints) and palm flexion creases (discontinuities in epidermal ridges). Palmprint, as an important member of the biometrics family, has many desired characteristics, such as strong uniqueness, durability and user-friendliness [8].…”

Towards Unconstrained Palmprint Recognition on Consumer Devices: a Literature Review

“…However, this approach relied on constrained acquisition, as the background was not overly complex. Another approach using Harris corners was proposed by Javidnia et al [57]. After obtaining an initial candidate for the hand region based on skin segmentation, the palm region was located using an iterative process based on the strength of the Harris corners.…”