Writer verification based on a single handwriting word samples
نویسندگان
چکیده
منابع مشابه
Handwriting Analysis for Writer Verification
7KLV FRPPXQLFDWLRQ GHDOV ZLWK WKH ZULWHU YHULILFDWLRQ WDVN 7KLV WDVN FRQVLVWV LQ GHFLGLQJ ZKHWKHU WZR KDQGZULWWHQ VDPSOHV KDYH EHHQ ZULWWHQ E\ WKH VDPH ZULWHU RU QRW +DQGZULWLQJV DUH ILUVW FKDUDFWHUL]HG E\ WKH JUDSKHPHV WKDW KDYH EHHQ VHJPHQWHG E\ D VHJPHQWDWLRQ SURFHGXUH +DQGZULWWHQ VDPSOHV DUH WKHQ DQDO\VHG DFFRUGLQJ WR WZR GLIIHUHQW SURFHGXUHV 7H[W VDPSOHV DUH GHVFULEHG LQ D IHDWXUH VSDFH FR...
متن کاملWriter Identification and Verification from Intra-variable Individual Handwriting
The handwriting of an individual may vary excessively with many factors such as mood, time, space, writing speed, writing medium, utensils etc. Therefore, it becomes more challenging to perform automated writer verification/ identification on a particular set of handwritten patterns (e.g. speedy handwriting) of a person, especially when the system is trained using a different set of writing pat...
متن کاملGrapheme Based Writer Verification
In this communication we propose an approach for the writer verification task. The difficulty of this task lies first, in the decision making between the two assumptions which model the problem: "Do the two writings come from the same writer ?" or "Do the two writings come from different writers?" and second, in the evaluation of the error risk associated to this decision. We have called upon a...
متن کاملWriter Identification for Chinese Handwriting
Chinese handwriting identification has become a hot research in pattern recognition and image processing. In this paper, we present overview of relevant papers from the previous related studies until to the recent publications regarding to the Chinese Handwriting Identification. The strength, weaknesses, accurateness and comparison of well known approaches are reviewed, summarized and documente...
متن کاملText Line Segmentation and Word Recognition in a System for General Writer Independent Handwriting Recognition
In this paper we present a system for recognizing unconstrained English handwritten text based on a large vocabulary. We describe the three main components of the system, which are preprocessing, feature extraction and recognition. In the preprocessing phase the handwritten texts are first segmented into lines. Then each line of text is normalized with respect to of skew, slant, vertical positi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EURASIP Journal on Image and Video Processing
سال: 2016
ISSN: 1687-5281
DOI: 10.1186/s13640-016-0139-0