US 11,755,687 B2
Text independent writer verification method and system
Majid Ali Khan, Dhahran (SA); Nazeeruddin Mohammad, Dhahran (SA); Ghassen Ben Brahim, Dhahran (SA); Abul Bashar, Dhahran (SA); and Ghazanfar Latif, Dhahran (SA)
Assigned to Prince Mohammad Bin Fahd University, Dhahran (SA)
Filed by Prince Mohammad Bin Fahd University, Dhahran (SA)
Filed on Oct. 19, 2022, as Appl. No. 17/968,950.
Application 17/968,950 is a continuation of application No. 17/494,429, filed on Oct. 5, 2021.
Prior Publication US 2023/0112880 A1, Apr. 13, 2023
Int. Cl. G06K 9/62 (2022.01); G06V 30/28 (2022.01)
CPC G06K 9/6256 (2013.01) [G06K 9/6255 (2013.01); G06V 30/293 (2022.01)] 14 Claims
OG exemplary drawing
 
1. A text independent writer verification method, comprising:
receiving, by a processing circuity, a dataset, the dataset including a set of hand written Arabic words from one or more target users, the set of hand written Arabic words including a minimum set of words that include the entire set of Arabic alphabets;
extracting, by the processing circuitry, individual alphabets from each of the set of hand written Arabic words to form extracted individual alphabets for the entire set of Arabic alphabets;
removing, by the processing circuitry, whitespace around the extracted individual alphabets;
training, by the processing circuitry, a deep learning Convolution Neural Network classifier with four convolution layers based on the extracted individual alphabets to form a trained deep learning classifier;
receiving, by the processing circuitry, a new Arabic word hand written by the target user;
classifying, by the processing circuitry performing the trained deep learning classifier, the target user based on the received new hand written Arabic word; and
verifying, by the processing circuitry, the target user from the classified target user, the verification of the target user including a verification accuracy of the hand written Arabic words being larger than a verification accuracy threshold value.