A Recognition Method of RMB Numbers Based on Character Features
نویسندگان
چکیده
According to the features of RMB banknote images, combining digital image processing and pattern recognition, this paper proposes a recognition method of RMB word numbers based on character features. The recognition algorithms include: image preprocessing, number region location, feature extraction and character recognition. The experimental results show that the automatic number identification system based on this method achieves high recognition rate and processing speed. Keywords-RMB numbers; character segmentation; feature extraction ; character recognition
منابع مشابه
بازشناسی برخط حروف مجزای دستنویس فارسی بر اساس تشخیص گروه بدنه اصلی با استفاده از ماشین بردار پشتیبان
In this paper a new method for the online recognition of handwritten Persian characters has been proposed which uses a set of simple features and Support Vector Machine (SVM) as a classifier. The task of preprocessing allows us to equalize feature vectors from different characters. This algorithm is implemented in two steps. In the first step, input character is classified into one of eighteen ...
متن کاملSpeech Emotion Recognition Using Scalogram Based Deep Structure
Speech Emotion Recognition (SER) is an important part of speech-based Human-Computer Interface (HCI) applications. Previous SER methods rely on the extraction of features and training an appropriate classifier. However, most of those features can be affected by emotionally irrelevant factors such as gender, speaking styles and environment. Here, an SER method has been proposed based on a concat...
متن کاملAlphanumeric Character Recognition Based on BP Neural Network Classification and Combined Features
This paper puts forward a new method of alphanumeric character recognition based on BP neural network classification and combined features. This method firstly establishes three BP networks respectively for three categories of characters which are classified according to their Euler numbers, with the combination of grid feature and projection feature as the input of each BP network. When recogn...
متن کاملA Real-Time Electroencephalography Classification in Emotion Assessment Based on Synthetic Statistical-Frequency Feature Extraction and Feature Selection
Purpose: To assess three main emotions (happy, sad and calm) by various classifiers, using appropriate feature extraction and feature selection. Materials and Methods: In this study a combination of Power Spectral Density and a series of statistical features are proposed as statistical-frequency features. Next, a feature selection method from pattern recognition (PR) Tools is presented to e...
متن کاملRecognition of features of the entrance of Pahlavi period buildings in Zahedan City
In this article, the aim is to Recognition the features of the entrances of Pahlavi period buildings in Zahedan and then prioritize these features. The research method is descriptive-analytical and quantitative-qualitative. Data collection in the first stage is through content analysis method based on images and researcher observations of 8 buildings in the city. In the second stage, building f...
متن کامل