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Offline Signature Verification Using Local Binary Pattern and Octave Pattern

机译:使用本地二进制模式和八度模式的脱机签名验证

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Signature verification holds a significant place in today's world as most of the bank transactions, stock trading etc. are validated via signatures. Signatures are considered as one of the most effective biometric identity but unfortunately signature forgery attempts are quite rampant. To prevent this, a robust signature verification mechanism is essential. In this paper, a new method has been proposed which uses Local Binary Pattern and geometrical features. A new geometric property has been devised i.e. Octave Pattern. Performance is analyzed by comparing random, semi-skilled and skilled forgeries with the genuine signature.
机译:签名验证在当今世界中占有重要地位,因为大多数银行交易,股票交易等都通过签名进行验证。签名被认为是最有效的生物特征识别之一,但不幸的是,签名伪造尝试非常猖ramp。为了防止这种情况,强大的签名验证机制必不可少。本文提出了一种利用局部二值模式和几何特征的新方法。已经设计出一种新的几何特性,即八度音阶。通过比较随机,半熟练和熟练的伪造品与真实签名来分析性能。

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