Spontaneous Handwriting Recognition and Classification

Finite-state models are used to implement a handwritten text recognition and classification system for a real application entailing casual, spontaneous writing with large vocabulary. Handwritten short paragraphs are to be classified into a small number of predefined classes. The paragraphs involve a wide variety of writing styles and contain many non-textual artifacts. HMMs and n-grams are used for text recognition and n-grams are also used for text classification. Experimental results are reported which, given the extreme difficulty of the task, are encouraging.

• Type: Conference
• Year: 2004
• Where: ICPR
• Authors: Alejandro Hector Toselli, Alfons Juan, Enrique Vidal
• Keywords: Computer Vision, Handwritten Short Paragraphs, Handwritten Text Recognition, ICPR 2004, Text Classification