Intelligent word recognition

About: Intelligent word recognition is a research topic. Over the lifetime, 2480 publications have been published within this topic receiving 45813 citations.

Word recognition using fuzzy logic

Abstract: This paper presents an offline word-recognition system based on structural information in the unconstrained written word. Oriented features in the word are extracted with the Gabor filters. We estimate the Gabor filter parameters from the grayscale images. A two-dimensional fuzzy word classification system is developed where the spatial location and shape of the membership functions are derived from the training words. The system achieves an average recognition rate of 74% for the word being correctly classified in the top position and an average of 96% for the word being correctly classified within the top five positions.

Rejection strategies for handwritten word recognition

Abstract: In this paper, we investigate different rejection strategies to verify the output of a handwriting recognition system. We evaluate a variety of novel rejection thresholds including global, class-dependent and hypothesis-dependent thresholds to improve the reliability in recognizing unconstrained handwritten words. The rejection thresholds are applied in a post-processing mode to either reject or accept the output of the handwriting recognition system which consists of a list with the N-best word hypotheses. Experimental results show that the best rejection strategy is able to improve the reliability of the handwriting recognition system from about 78% to 94% while rejecting 30% of the word hypotheses.

Handwritten character input device and storage medium

Abstract: PROBLEM TO BE SOLVED: To display the operations desired by a user in the smooth and easy-to- understand ways and to improve the operability of a handwritten character input device by attaining the free input operations of handwritten characters with no input frames required and also displaying a menu window etc., according to the characters, instructions, etc., which are inputted via a touch panel. SOLUTION: When the handwritten characters are inputted by a user at an optional position on an input panel, a CPU displays a transparent blue vertical or horizontal writing recognition window 612 in response to the direction of the inputted handwritten characters. The window 612 functions to change the recognition result of the inputted handwritten characters and also to convert the recognition result into KANJI (Chinese character) from KANA (Japanese syllabary) in a character string. Then ○ or × is inputted by handwriting to decide or cancel the recognition result or the converted character string candidates.

Allograph based writer adaptation for handwritten character recognition

Abstract: The claimed subject matter provides a system and/or a method that facilitates analyzing and/or recognizing a handwritten character. An interface component can receive at least one handwritten character. A personalization component can train a classifier based on an allograph related to a handwriting style to provide handwriting recognition for the at least one handwritten character. In addition, the personalization component can employ any suitable combiner to provide optimized recognition.