In spite of the enormous researches that introduced several algorithms for character and numeral recognition in different languages such as English, Chinese, Japanese and Arabic ( Sabbour and Shafait, 2013 Patil and Shimpi, 2011 Arora et al., 2011), poor attention was given to Latin numerals, although it can be used in many applications such as the recognition of Latin letters in clocks and watches, movies copyright dates, sporting events and oxidation states, etc. In other words, OCR systems are responsible for the conversion of a written text, whether handwritten or printed, into digital format ( Sharma et al., 2013 Sumathi and Karpagavalli, 2012). The core concept of every OCR system is to recognize the characters from an imported image ( Caluori and Simon, 2013 Rehman and Saba, 2012). Therefore, the better the recognition, the better the results achieved.Įnas Al-Rawashdeh, Dojanah Bader and Rawan Zaghloul, 2014. Puts high demand on the efficiency of the first operation in the translation The overallĪccuracy of the proposed algorithm reaches 90%. To read the Latin number from the set of the recognized letters. The features from the Latin numbers in order to recognize them. Of two separate operations in its translation process. This study presents a precise system for translating the Latin
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |