Category: IEEE 2017

Learning Fingerprint Reconstruction From Minutiae to Image

Learning Fingerprint Reconstruction: From Minutiae to Image Abstract The set of minutia points is considered to be the most distinctive feature for fingerprint representation and is widely used in fingerprint matching. It was believed that the minutiae set does not contain sufficient information to reconstruct the original fingerprint image from which minutiae were extracted. However, […]


An Innovative Lossless Compression Method for Discrete-Color Images

An Innovative Lossless Compression Method for Discrete-Color Images Abstract In this paper, we present an innovative method for lossless compression of discrete-color images, such as map images, graphics, GIS, as well as binary images. This method comprises two main components. The first is a fixed-size codebook encompassing 8×8 bit blocks of two-tone data along with […]