Artificial neural network based automatic face parts prediction system from only fingerprints

A Web Based Face Counter Prediction System from Only Fingerprints

“…The concept of this new approach was introduced to the literature in different perspectives in the references [4][5][6][7][8][9][10][11][12][13][14][15]. This study is a further step of these previous studies to achieve, introduce and share this new concept with others around the world via web based platform.…”

“…The authors have most recently introduced to literature for the first time that there have been close relationships among faces and fingerprints [3]. Generating the face borders, the face contours including face border and ears, the face models including eyebrows, eyes and mouth, the inner face parts including eyes, nose and mouth, the face parts including eyes, nose, mouth and ears and the face models including eyes, nose, mouth, ears and face border from only fingerprints without any need for face information have been the studies to introduce these relationships [4][5][6][7][8][9][10][11][12][13][14][15]. It is clear from these studies that a partially unknown biometric feature can be successfully achieved from a known biometric feature.…”

Generating One Biometric Feature from Another: Faces from Fingerprints

“…At the beginning of the processes, authors have tried to generate only face borders [5], only eyes [13] and face contours [6] from just fingerprints. In further steps of the process, the ANN structures were improved, trained and tested to predict static face parts [7,8,12].…”

“…ANNs are biologically inspired intelligent techniques to solve many problems [ 36 – 40 ]. Learning, generalization, less data requirement, fast computation, ease of implementation and software and hardware availability features have made ANNs very attractive for many applications [ 36 ].There has been a growing research interest in security and recognition applications based on intelligent techniques and especially ANNs which are also very popular in biometric-based applications [ 5 – 13 , 29 , 34 , 35 , 37 – 40 ]. Multilayered perceptron (MLP) is one of the most popular ANN architectures and can be trained with various learning algorithms.…”

“…It is thought that this might be used in many security applications. This challenging topic of generating face parts from only fingerprints has been recently introduced for the first time by the authors in series of papers [ 5 – 13 ]. The relationships among biometric features of the faces and fingerprints (Fs&Fs) were experimentally shown in various studies covering the generation of: face borders [ 5 ], face contours, including face border and ears [ 6 ], face models, including eyebrows, eyes and mouth [ 7 ], inner face masks including eyes, nose and mouth [ 8 ], face parts, including eyes, nose, mouth and ears [ 9 ], face models including eyes, nose, mouth, ears and face border [ 10 ], face parts, including eyebrows, eyes, nose, mouth and ears [ 11 ], only eyes [ 12 ], face parts, including eyebrows, eyes and nose [ 13 ], face features, including eyes, nose and mouth [ 14 ] and face shapes, including eyes, mouth and face border [ 15 ].…”