TY - JOUR ID - TI - A Modified Back Propagation Algorithm for Assyrian Optical Character Recognition Based on Moments AU - Modhar Mohsen Mohammed AU - Luma Fayeq Jalil PY - 2016 VL - 34 IS - 2 Part (B) Scientific SP - 255 EP - 268 JO - Engineering and Technology Journal مجلة الهندسة والتكنولوجيا SN - 16816900 24120758 AB - Character recognition has been very popular and interested area for researches, and it continues to be a challenging and impressive research topic due to its diverse applicable environment. The optical character recognition has been introduced as a fast and accurate method to convert both existing text images as well as large archives of existing paper documents to editable digital text format.However, existing optical character recognition algorithms suffer from flawed tradeoffs between accuracy and speed, making them less effective and impractical for large and complex documents. This paper describes a suggested method for Assyrian optical character recognition using modified back propagation artificial neural network based on moments. The experimental results show that the proposed method achieves higher recognition accuracy rate in compared with the standard algorithm.

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