Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications that includes, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. Neural Network (NN) with its inherent learning ability offers promising solutions for handwritten characte...

each license plate recognition system is composed of three main parts, namely, license plate detection, character segmentation and character recognition. in this paper, we focus on the improvement and innovation of the character recognition step. for this purpose, a new hierarchical architecture based on support vector machines (svms) is suggested for persian license plate characters recognitio...

Handwritten characters are seen everywhere in our day-to-day life. Almost all the things we do involve letters, from writing cheques to notes manually. character recognition is considered as a core diversity of emerging application by using concepts machine learning. It used widely for performing practical applications such reading computerized bank cheques. However, executing system carry out ...

Machine understanding of hand,filled documents in China, Japan and Korea requires not only general solutions of document analysis but also ability to handle peculiarities of the Oriental languages. As expected, handwritten Chinese character recognition is the major task for it. In addition, Japanese Kana, Korean Hangul, Roman alphabet as well as numerals are targets of recognition. The main dif...