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The objective of the paper is to recognize handwritten samples of Romannumerals using Tesseract open source Optical Character Recognition (OCR)engine. Tesseract is trained with data samples of different persons to generateone user-independent language model, representing the handwritten Romandigit-set. The system is trained with 1226 digit samples collected form thedifferent users. The performance is tested on two different datasets, oneconsisting of samples collected from the known users (those who prepared thetraining data samples) and the other consisting of handwritten data samples ofunknown users. The overall recognition accuracy is obtained as 92.1% and 86.59%on these test datasets respectively.

Recognition of handwritten Roman Numerals using Tesseract open source OCR engine