| CPC G06F 18/214 (2023.01) [G06F 18/28 (2023.01); G06V 30/293 (2022.01)] | 17 Claims |
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1. A text independent writer verification method, comprising:
receiving, by a processing circuitry, a dataset, the dataset including a set of hand written cursively connected Arabic words from one or more target users, the set of hand written cursively connected Arabic words including a minimum set of words that encompass the entire set of Arabic alphabets;
extracting, by the processing circuitry, individual alphabets from each of the set of hand written cursively connected 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 cursively connected Arabic words being larger than a verification accuracy threshold value.
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