Add to ORKGThe character recognition (CR) mechanization is being intensively investigated in the pattern recognition research area. CR automation means translating images of characters into a text; in other words, it represents an attempt to simulate the human reading process. CR is very difficult to accomplish owing to various issues such as the inconsistency o
Abstract- OCR itself is currently translating images handwritten typewritten or printed text into a ...
The paper describes an approach to low-resolution character recognition for real-time applications b...
The machine replication of human reading has been the subject of intensive research for more than th...
Computationally intelligent recognition of characters and symbols addresses a wide range of applicat...
Character Recognition has become an intensive research areas during the last few decades because of ...
The book offers a comprehensive survey of soft-computing models for optical character recognition sy...
In this paper, a novel approach for character recognition has been presented with the help of geneti...
Handwritten Character Recognition is well known problem which has many real world applications. Many...
Abstract: Rule-based systems used for Optical Character Recognition (OCR) are notoriously difficult ...
Computer-based pattern recognition is a process that involves several sub-processes, including pre-...
Microsoft, Motorola, Siemens, Hitachi, IAPR, NICI, IUF A feature selection method using genetic algo...
Character Recognition has been one of the most intensive research during the last few decades becaus...
Character Recognition has been a popular focus of pattern recognition research since at least the 1...
Abstract. In this work we examine the applicability of an evolutionary algorithm to the problem of o...
Abstract Purpose: The presented work demonstrates, Face Recognition System initiated by using GA (Ge...
Abstract- OCR itself is currently translating images handwritten typewritten or printed text into a ...
The paper describes an approach to low-resolution character recognition for real-time applications b...
The machine replication of human reading has been the subject of intensive research for more than th...
Computationally intelligent recognition of characters and symbols addresses a wide range of applicat...
Character Recognition has become an intensive research areas during the last few decades because of ...
The book offers a comprehensive survey of soft-computing models for optical character recognition sy...
In this paper, a novel approach for character recognition has been presented with the help of geneti...
Handwritten Character Recognition is well known problem which has many real world applications. Many...
Abstract: Rule-based systems used for Optical Character Recognition (OCR) are notoriously difficult ...
Computer-based pattern recognition is a process that involves several sub-processes, including pre-...
Microsoft, Motorola, Siemens, Hitachi, IAPR, NICI, IUF A feature selection method using genetic algo...
Character Recognition has been one of the most intensive research during the last few decades becaus...
Character Recognition has been a popular focus of pattern recognition research since at least the 1...
Abstract. In this work we examine the applicability of an evolutionary algorithm to the problem of o...
Abstract Purpose: The presented work demonstrates, Face Recognition System initiated by using GA (Ge...
Abstract- OCR itself is currently translating images handwritten typewritten or printed text into a ...
The paper describes an approach to low-resolution character recognition for real-time applications b...
The machine replication of human reading has been the subject of intensive research for more than th...