Handwritten Courtesy Amount and Signature Recognition on Bank Cheque using Neural Network
نویسندگان
چکیده
منابع مشابه
Signature Processing in Handwritten Bank Cheque Images
-Signature is the most important feature of a bank cheque. Basically signature verification is a scheme to verify a cheque for its authentication. The data base consist of several bank’s cheque. The present paper focuses on different steps including browsing a bank cheque, pre-processing, feature extraction, recognition. Preprocessing stage includes image resizing, noise elimination, thinning e...
متن کاملHandwritten Bank Check Recognition Of Courtesy Amounts
In spite of rapid evolution of electronic techniques, a number of large-scale applications continue to rely on the use of paper as the dominant medium. This is especially true for processing of bank checks. This paper examines the issue of reading the numerical amount field. In the case of checks, the segmentation of unconstrained strings into individual digits is a challenging task because of ...
متن کاملPersian Handwritten Digit Recognition Using Particle Swarm Probabilistic Neural Network
Handwritten digit recognition can be categorized as a classification problem. Probabilistic Neural Network (PNN) is one of the most effective and useful classifiers, which works based on Bayesian rule. In this paper, in order to recognize Persian (Farsi) handwritten digit recognition, a combination of intelligent clustering method and PNN has been utilized. Hoda database, which includes 80000 P...
متن کاملBrazilian Bank Check Handwritten Legal Amount Recognition
This paper presents a system that is being developed for the recognition of the handwritten legal amount in Brazilian bank checks. Our strategy used to approach the handwritten legal amount recognition problem puts on evidence the key-words: "mil", "reais/real", "centavos/centavo" which are almost always present in each amount. The recognizer, based on Hidden Markov Models, does a global word a...
متن کاملOff-line Handwritten Signature Recognition Using Wavelet Neural Network
ـــ ـ Automatic signature verification is a wellestablished and an active area for research with numerous applications such as bank check verification, ATM access, etc. Most off-Line signature verification systems depend on pixels intensity in feature extraction process which is sensitive to noise and any scale or rotation process on signature image. This paper proposes an off-line handwritten ...
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: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/20742-3127