  Information is frequently retrieved from valid personal ID cards by the
authorised organisation to address different purposes. The successful
information retrieval (IR) depends on the accuracy and timing process. A
process which necessitates a long time to respond is frustrating for both sides
in the exchange of data. This paper aims to propose a series of
state-of-the-art methods for the journey of an Identification card (ID) from
the scanning or capture phase to the point before Optical character recognition
(OCR). The key factors for this proposal are the accuracy and speed of the
process during the journey. The experimental results of this research prove
that utilising the methods based on deep learning, such as Efficient and
Accurate Scene Text (EAST) detector and Deep Neural Network (DNN) for face
detection, instead of traditional methods increase the efficiency considerably.
