Smart Palm Reading App with Auto Pattern Recognition (iOS Platform)

Abstract

It is believed that palm reading can predict future and identify personal characteristic by making use of palm lines, hand shapes and other palm features. In this paper, an algorithm was proposed to extract principle palm lines, hand shapes and fingertip positions from a photo on smartphones. The algorithm applies computer vision methods such as noise filtering, edge detection and directional detectors to accomplish the purpose. An image database was built and OpenCV was used to test the algorithm. It is found that principle palm lines can be extracted under acceptable conditions. Furthermore, a mathematical method was proposed to analyse the extracted lines. It makes use of slope and derivations to conclude prediction based on palm reading theories. Besides, mobile development approaches were researched to increase the efficiency of mobile application development. It is found that crossDplatform library and web approach can be adopted in many scenarios such as eDbook applications. To demonstrate the finding, three iOS mobile applications have been developed accordingly. In addition to these research areas, database and social network integration were involved to implement them as usable mobile applications. The findings may be useful for other applications such as biometric verification and health estimation.