Recent Achievements in Off-line Handwriting Recognition Systems
نویسندگان
چکیده
This paper reviews the current state of the art in handwriting recognition research. The paper deals with issues such as hand-printed character and cursive handwritten word recognition. It describes recent achievements, difficulties, successes and challenges in all aspects of handwriting recognition. It also presents a new approach which dramatically improves current handwriting recognition systems. Some experimental results are included.
منابع مشابه
Off-line Arabic Handwritten Recognition Using a Novel Hybrid HMM-DNN Model
In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and letters, and today, due to advancements in machine learning methods, efforts are being made to iden...
متن کاملStrategies for Combining On-line and Off-line Information in an On-line Handwriting Recognition System
This paper investigates the cooperation of on-line and off-line handwriting word recognition systems. Our goal is to improve a mature on-line recognition system by exploiting the complementary information present in the off-line representation built from on-line signal. After describing the on-line and off-line HMM based handwriting recognition systems, we propose a formal framework, which allo...
متن کاملFrom Off-line to On-line Handwriting Recognition
On-line handwriting includes more information on the time order of the writing signal and on the dynamics of the writing process than off-line handwriting. Therefore, on-line recognition systems achieve higher recognition rates. This can be concluded from results reported in the literature, and has been demonstrated empirically as part of this work. We propose a new approach for recovering the ...
متن کاملOff-line cursive handwriting recognition compared with on-line recognition
Off-line handwriting recognition has wider applications than on-line recognition, yet it seems to be a harder problem. While on-line recognition is based on pen trajectory data, off-line recognition has to rely on pixel data only. We present a comparison between an off-line and an on-line recognition system using the same databases and system design. Both systems use a sliding window technique ...
متن کاملHybrid of HMM and Fuzzy Logic for Isolated Handwritten Character Recognition
Handwriting is a skill that is personal to individuals. The term “handwriting” is defined to mean as a surface consisting of artificial graphic marks conveying some message through the mark’s conventional relation to language (Plamondon & Srihari, 2000). Handwriting recognition is the task of producing the symbolic form, from the stored information of the handwriting data. Handwriting data is c...
متن کامل